Ali Mohammadzadeh

Ali Mohammadzadeh
Khaje Nasir Toosi University of Technology | KNTU · Faculty of Geodesy and Geomatics Engineering

Associate Professor in Remote Sensing
Head of LiDAR lab and developing modules in Disaster Management (Earthquake, flooding, Dust, ...)

About

110
Publications
33,378
Reads
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1,544
Citations
Introduction
I am Associate Professor in K.N.Toosi University of Technology and now am working on different subjects in remote sensing.
Additional affiliations
May 2018 - present
Khaje Nasir Toosi University of Technology
Position
  • Head of Faculty
December 2015 - September 2020
Khaje Nasir Toosi University of Technology
Position
  • Professor (Associate)
October 2013 - March 2018
Khaje Nasir Toosi University of Technology
Position
  • Head of Department
Education
January 2005 - June 2009
Khaje Nasir Toosi University of Technology
Field of study
  • Remote Sensing

Publications

Publications (110)
Article
Full-text available
Relative radiometric normalization (RRN) is important for pre-processing and analyzing multitemporal remote sensing (RS) images. Multitemporal RS images usually include different land use/land cover (LULC) types; therefore, considering an identical linear relationship during RRN modeling may result in potential errors in the RRN results. To resolve...
Article
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Mangroves, as unique coastal wetlands with numerous benefits, are endangered mainly due to the coupled effects of anthropogenic activities and climate change. Therefore, acquiring reliable and up-to-date information about these ecosystems is vital for their conservation and sustainable blue carbon development. In this regard, the joint use of remot...
Article
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As a leading natural wealth, forests play an essential role in the development and prosperity of countries. Hence, monitoring their changes can lead to proper management and planning in conserving these resources. This study presents a novel unsupervised forest change detection method comprising two main steps: (1) generating a reliable difference...
Article
In recent decades, most of the natural and semi-natural ecosystems around the world have experienced excessive environmental loads due to human unsustainable activities that threaten their health and sustainability. Accordingly, the idea of ecosystem health has been proposed to monitor simultaneously the structure, function as well as the services...
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Mapping and monitoring the spatio-temporal variations of the Surface Urban Heat Island (SUHI) and thermal comfort of metropolitan areas are vital to obtaining the necessary information about the environmental conditions and promoting sustainable cities. As the most populated city of Iran, Tehran has experienced considerable population growth and La...
Article
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Image registration is the technique of aligning two or more images with a reference image all acquired at the same geographical area with different acquisition dates, viewpoints, and imaging sensors. This technique is a fundamental process in photogrammetry and remote sensing tasks, and change detection is known as one of its important applications...
Article
Remote Sensing (RS) offers efficient tools for drought monitoring, especially in countries with a lack of reliable and consistent in-situ multi-temporal datasets. In this study, a novel RS-based Drought Index (RSDI) named Temperature-Vegetation-soil Moisture-Precipitation Drought Index (TVMPDI) was proposed. To the best of our knowledge, TVMPDI is...
Article
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Mangroves are among the most productive ecosystems in existence, with many ecological benefits. Therefore, generating accurate thematic maps from mangrove ecosystems is crucial for protecting, conserving, and reforestation planning for these valuable natural resources. In this paper, Sentinel-1 and Sentinel-2 satellite images were used in synergy t...
Article
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Change detection is one of the most important processes in photogrammetry and remote sensing, in which occurred changes in the same geographical area are identified over time. Forests are one of the national assets of any country that have a vital role in climate change, groundwater formation, and the prevention of soil erosion and floods. Thus, an...
Article
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One of the economic challenges facing developing countries is the cost of tackling air pollution and improve air quality. Additionally, the people's health in the community and existing diseases can be directly related to air quality. Therefore, the study and analysis of air pollutants can provide valuable information for air quality assessment. Th...
Article
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This paper compares the performances of the most commonly used keypoint detectors and descriptors (SIFT, SURF, KAZE, AKAZE, ORB, and BRISK) for Relative Radiometric Normalization (RRN) of unregistered bitemporal multi-spectral images. The keypoints matched between subject and reference images represent possible unchanged regions and are used in for...
Article
In this article, we propose a novel framework to radiometrically correct unregistered multisensor image pairs based on the extracted feature points with the KAZE detector and the conditional probability (CP) process in the linear model fitting. In this method, the scale, rotation, and illumination invariant radiometric control set samples (SRII-RCS...
Article
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Despite the unique capabilities of hyperspectral images for classification tasks, handling the high dimension of these data is challenging. Therefore, dimension reduction algorithms have been proposed to solve this challenge. In this paper, an unsupervised Feature Selection (FS) algorithm was proposed for hyperspectral image classification. First,...
Article
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The ability of the Canadian agriculture sector to make better decisions and manage its operations more competitively in the long term is only as good as the information available to inform decision-making. At all levels of Government, a reliable flow of information between scientists, practitioners, policy-makers, and commodity groups is critical f...
Article
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Change Detection from remote sensing images is one of the most challenging and controversial topics among researchers in this field. Given the variety of types of surveyed areas and the data used, it cannot be claimed that there is a comprehensive way to identify different types of remote sensing data.This research aims to represent three robust an...
Article
Accurate information about the location, extent, and type of Land Cover (LC) is essential for various applications. The only recent available country-wide LC map of Iran was generated in 2016 by the Iranian Space Agency (ISA) using Moderate Resolution Imaging Spectroradiometer (MODIS) images with a considerably low accuracy. Therefore, the producti...
Article
This article presents a new relative radiometric normalization (RRN) method for multitemporal satellite images based on the automatic selection and multistep optimization of the radiometric control set samples (RCSS). A novel image-fusion strategy based on the fast local Laplacian filter is employed to generate a difference index using the compleme...
Article
Change Detection (CD) problem from remotely sensed images is a popular topic among researchers. Because of the diversity in the problem of change detection and the complexity of the study areas it cannot be claimed that there is an appropriate and prevalent algorithm which is more effective for different types of the case study. As a fundamental in...
Article
With the advancement of the space-based imaging technology, large amounts of images of different modality and spatial, spectral, and temporal resolutions are available. However, it is clearly demonstrated that combining images from different sources improves results in remote-sensing applications, it still remains a challenge to make full use of th...
Article
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In this paper, DTFL an image classifier based on Decision Tree and Fuzzy Logics is proposed. At the beginning of classification using DTFL, each pixel is located at the highest level of a decision tree where it belongs to the combination of all classes. DTFL transfers a pixel to a lower level of the decision tree where the pixel belongs to a combin...
Conference Paper
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Land cover classification is important for various environmental assessments. The opportunity of imaging the Earth’s surface makes remote sensing techniques efficient approaches for land cover classification. The only country-wide land cover map of Iran was produced by the Iranian Space Agency (ISA) using low spatial resolution Moderate Resolution...
Article
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In recent decades, there have been many problems in urban management and planning due to the population growth, industrial development, urbanization, natural resource depletion and marginalization. On the other hand, with the advent of science and technology, human beings have new solutions to the aformentioned problems. Land use generally means th...
Article
A building damage map would help us to manage rescue operations, particularly after earthquakes. Light Detection and Ranging (LiDAR), as a data in remote sensing and photogrammetry sciences, has been recently used for producing building damage maps. However, there is no automatic building damage detection method based on post-event LiDAR data. For...
Article
Road detection and road extraction are important and challenging issues in the fields of photogrammetry and remote sensing. Researchers have conducted wide research in this regard based on multispectral images and achieved relatively useful results. Image-data driven methods have some shortcomings such as shadows, eliminating small and long vehicle...
Article
Satellite remote sensing is undergoing a revolution in terms of sensors and temporal coverage. The possibility of acquiring earth’s surface video from space provides an opportunity to investigate broader applications of remote sensing. High-resolution spaceborne videos can become a vital factor in earth observation. Temporally continuous tracking o...
Article
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This study suggests a novel approach to the retrieval of soil surface parameters using a single-acquisition single-configuration synthetic-aperture radar (SAR) system. Soil surface parameters such as soil moisture and surface roughness are key elements for many environmental studies, including Earth surface water cycles, energy exchange, agricultur...
Article
Due to the advancement of sensor technology, hyperspectral sensors are now able to record reflectance of the earth’s surface in hundreds of bands. This makes hyperspectral images a rich source for a diverse range of applications, including classification tasks. Based on Hughes phenomenon, classification accuracy decreases as dimensionality increase...
Article
This paper presents an extension of H/A/Alpha polarimetric SAR (PolSAR) decomposition for polarimetric interferometric SAR (PolInSAR) images, and introduces new parameters using both polarimetric and interferometric data. These parameters provide more information than extracted parameters from H/A/Alpha PolSAR decomposition. The new parameters sign...
Article
Building damage maps after disasters can help us to better manage the rescue operations. Researchers have used Light Detection and Ranging (LiDAR) data for extracting the building damage maps. For producing building damage maps from LiDAR data in a rapid manner, it is necessary to understand the effectiveness of features and classifiers. However, t...
Article
In this study, we present a new approach for unsupervised change detection in multitemporal synthetic aperture radar (SAR) images based on integrating thresholding with level set method (LSM), which is free of any prior assumption about modeling the data distribution in the difference image. The proposed approach exploits a discrete wavelet transfo...
Article
Detection of changes in synthetic aperture radar (SAR) images is an important challenge due to the effects of speckle noise on these images. In recent years, appropriate methods for SAR-based-change detection have been developed based on the level set methods (LSM). These methods need to set parameters for defining a proper initial contour. Moreove...
Article
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In this research, a semi-automated building damage detection system is addressed under the umbrella of high-spatial resolution remotely sensed images. The aim of this study was to develop a semi-automated fuzzy decision making system using Genetic Algorithm (GA). Our proposed system contains four main stages. In the first stage, post-event optical...
Article
Recently, combined use of lidar and optical data has been extensively employed to achieve 3D modeling of buildings. In the first step of this research, lidar point cloud is clustered into roof’s major and minor planes. A FAST algorithm is used to extract roof corners from a 2D optical data. Afterwards, residue of the anomalies is obtained through s...
Article
The temporal evolution of the polarimetric SAR data provides an extremely valuable information source for the various applications of this data. In this paper, the evolution of the agriculture crops in the time dimension is employed for multitemporal multidimensional speckle filtering. The proposed filtering method is based on a temporal statistica...
Article
Full-text available
Geomatics science and technology is a main source of geospatial information providers in variant forms. In producing such information, Remote Sensing and Photogrammetry with high potentials as different sensors with variant data types have an essential role. In recent years, change detection has been important for many organizations in attention to...
Article
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Tracking damaged roads and damage level assessment after earthquake is vital in finding optimal paths and conducting rescue missions. In this study, a new approach is proposed for the semi-automatic detection and assessment of damaged roads in urban areas using pre-event vector map and both pre and post-earthquake QuickBird images. In this research...
Conference Paper
As the cities grow, accurate traffic planning becomes more important than before. Videos from space can be a great source of information which enable us to detect and track vehicles and estimate traffic parameters over a larger region. We will describe a simple, robust, and automatic method which can detect and track vehicles and vessels simultaneo...
Conference Paper
Full-text available
داده های سنجش از دور به عنوان منبع مهمی از اطلاعات برای پایش سطح زمین می توانند استفاد شوند و طبقه بندی این داده ها به منظور دستیابی به نقشه های کاربری و پوشش زمین از اهمیت بسیار بالایی برخوردار است. روش های متنوع و بسیاری برای طبقه بندی داده های پلاریمتری سنجنده های رادار با روزنه ی مجازی (SAR) ارائه شده اند که هر کدام از آنها از پارامتر های گوناگ...
Article
Full-text available
Update information on urban regions has been substantial for management communities. In this research, a novel method was developed for Urban Land Cover Mapping (ULCM). Textural-spectral features obtained from Hyperspectral Thermal Infrared (HTIR) data were fused with spatial-spectral features of the visible image for ULCM. The proposed method cons...
Article
Forest fire is one of the most important sources of land degradation that lead to deforestation and desertification processes. The presented work describes a methodology that employs logistic regression and artificial neural networks (ANN) to model forest fire risk and to recognize high potential area for fire occurrence. Different satellite and fi...
Article
Full-text available
Timely and accurate detection of land cover/use changes is one of the most important issues in land planning and management. Remote sensing (RS) images have become an important data source for change detection (CD) in recent decades. Thresholding of difference image (DI) is a prevalent approach for RS-based CD. It can be shown that the changes in a...
Article
A fundamental problem of retinal fundus image registration is the determination of corresponding points. The scale-invariant feature transform (SIFT) is a well-known algorithm in this regard. However, SIFT suffers from the problems in the quantity and quality of the detected points when facing with high-resolution and low-contrast retinal fundus im...
Article
Classification and detection of urban objects have been big challenges for years. High spatial resolution hyperspectral thermal infrared (HSR-HTIR) is a novel source of data that became available in recent years for urban object detection. In this research, a novel method is proposed for integration of HTIR and very high spatial resolution (VHSR) v...
Conference Paper
Full-text available
A fundamental problem in retinal image registration (RIR) is the determination of correspondences between image pairs. State-of-the-art RIR methods use local features like scale invariant feature transform (SIFT) to find corresponding points. However, SIFT suffers from the quantity and quality of the detected points. On the other hand, the attentio...
Article
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Maps of the total electron content (TEC) of the ionosphere can be reconstructed using data extracted from global positioning system (GPS) signals. For historic and other sparse data sets, the reconstruction of TEC images is often performed using multivariate interpolation techniques. In this paper, a quantitative comparison of the ability of artifi...
Article
In recent decades, building and tree detection from LiDAR data and aerial imagery with high automation and accuracy level has been the focus of many researchers which was selected as the purpose of our research. At first, after data preprocessing, off-terrain objects (OTO) including trees and buildings were extracted from LiDAR data. Second, a numb...
Article
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Classification and detection of urban objects have always been a challenge for Photogrammetry and Remote Sensing researchers. Among various urban classes, plant complications due to their high diversity, spectral similarities in visible images and also absence of specific geometrical shapes have remarkable separation intricacies. In previous resear...
Article
Building damage detection after earthquake would help to rapid relief and response of disaster. In this study, an efficient method was proposed for building damage detection in urban area after earthquake using pre-event vector map and postevent pan-sharpened high spatial resolution image. At first, preprocessing was applied on the postevent satell...
Article
A fundamental problem of image registration is the determination of corresponding points. The scale-invariant feature transform (SIFT) is a well-known algorithm in this regard. However, SIFT suffers from quantity, quality and distribution of the detected points when facing with high-resolution and low-contrast colour retinal fundus images. This stu...
Article
Full-text available
One of the most important applications of geodesy in geodynamics is study of crustal deformations. In this paper, surface deformation analysis is investigated using 3-D model. 3-D isoparametric method and Iranian permanent GPS network (IPGN) were used to estimate strain tensor. In this method, strain parameters obtained from compares the relative d...
Article
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Neural network is an information processing system which is formed by a large number of simple processing elements, known as artificial nerves. It is formed by a number of nodes and weights connecting the nodes. The input data are multiplied by the corresponding weight and the summation are entered into neurons. Each neuron has an activation functi...
Article
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Because of the existence of some gaps, uncertainties, and coarse spatial resolution in global aerosol optical depth (AOD) data over south-west part of Iran as the study area, a novel aerosol load index is proposed. As no AERONET station is available in the study area, an index is needed that does not use particle properties. The proposed algorithm...
Article
Fast relief and response is one of the responders 'tasks after the vigorous earthquakes in urban areas .Build-ing damage maps can specify the relief and response priority .Remote sensing is one of the main sources in damage map production .Various research has been carried out on damage assessment using remote sensing data .In this research ,the in...
Article
Fast relief and response is one of the responders 'tasks after the vigorous earthquakes in urban areas .Build-ing damage maps can specify the relief and response priority .Remote sensing is one of the main sources in damage map production .Various research has been carried out on damage assessment using remote sensing data .In this research ,the in...
Article
Full-text available
Fast relief and response is one of the responders 'tasks after the vigorous earthquakes in urban areas .Build-ing damage maps can specify the relief and response priority .Remote sensing is one of the main sources in damage map production .Various research has been carried out on damage assessment using remote sensing data .In this research ,the in...
Article
Full-text available
Change detection has been one of the basic and crucial needs of management and exploitation of the environment and urban areas. Changes of the Urmia lake have been affected the life of the millions of the Iranian, Turkish and Azerbaijani people and their natural wildlife. Various methods and research studies have been developed to environmental cha...
Article
Introduction: Thermal Infrared Integrated Dust Index (TIIDI) is one of the indices presented in this direction. The index operates based on four brightness temperature difference including Wavelengths 3.7, 8.6, 11 and 12 micrometer. According to the studies, BTD (BT12-BT11) is used for cloud detection. BTD (BT8.6-BT11) is the index for separation o...
Article
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A unified image fusion approach suitable for all employed imaging sources becomes necessary, with the development of space-borne imaging sensors. In this work, two issues were tested to improve the spectral quality of fused images and also investigating class-based fusion results. First, a Generalized Intensity-Hue-Saturation (GIHS), Brovey Transfo...
Article
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Today, aerial laser scanners (LiDAR) have an important role in 3D data acquisition from features. Bare earth information is very important in deferent applications such as DTM extraction, determination of traversable area, etc. Up to now, a lot of algorithms have been developed to automated filtering of LiDAR data. The weakness of most of these alg...
Article
Full-text available
In this paper, 3-layer perceptron Neural Network has been used with 5 neuron in hidden layer for modeling the Ionospheric Total Electron Content (TEC) Over Iran. For this purpose, 25 GPS station from IPGN is used. These 25 stations are located within a range of approximately 24oN to 40oN and 44oE to 64oE. Evaluation of the results has been applied...
Conference Paper
Full-text available
بسیاری از کاربردهای سنجش از دوری نیازمند قطعه¬بندی هستند که برای این کار شناسایی لبه¬ها یکی از مراحل اساسی است. یکی از محبوب¬ترین روش¬های شناسایی لبه، الگوریتم Canny است که در این مقاله با استفاده از منطق فازی نوع دوم، عملکرد این روش بهبود پیدا می¬کند. برای این کار با معرفی تابع تعلق و فازی¬ساز مناسب، دو حد آستانه مورد نیاز در روش Canny بطور اتومات...
Conference Paper
Full-text available
The objective of image fusion (or sometimes pan sharpening) is to produce a single image containing the best aspects of the source images. Some desirable aspects are high spatial resolution and high spectral resolution. With the development of space borne imaging sensors, a unified image fusion approach suitable for all employed imaging sources bec...
Article
Full-text available
In this study we propose an approach for dust detection by aerosol reflectance over arid and urban region in clear sky condition. In urban and arid areas surface reflectance in red and infrared spectral is bright and hence shorter wavelength is required for this detections. Main step of our approach can be mentioned as: cloud mask for excluding clo...
Article
Full-text available
Due to the rapid transformation of the societies, and the consequent growth of the cities, it is necessary to study these changes in order to achieve better control and management of urban areas and assist the decision-makers. Change detection involves the ability to quantify temporal effects using multi-temporal data sets. The available maps of th...
Article
Full-text available
Image matching is an essential task in digital photogrammetry. The fully automatic matching of convergent close range image is a difficult task due to possible significant geometric distortions in these images. In this paper an efficient and fully automatic matching method for convergent close range images is presented. The proposed method consists...