Varsha Turkar

Varsha Turkar
Don Bosco College of Engineering, Margao, Goa · Electronics and Telecommunication

PhD

About

48
Publications
13,460
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
255
Citations
Citations since 2017
22 Research Items
205 Citations
20172018201920202021202220230102030405060
20172018201920202021202220230102030405060
20172018201920202021202220230102030405060
20172018201920202021202220230102030405060
Introduction
I have done PhD from CSRE, IIT Bombay and M.E (control-Electrical) from VJTI, Matunga, Mumbai. My research area is "PolSAR image classification for various land features". I am also working as associate professor (in department of electronics) at Vidyalankar Institute of Technology, Mumbai. I teach various subjects at post graduate level like Image processing, speech recognition, parallel processing and multimedia and Computer organization, GIS and Digital Electronics at UG level.
Additional affiliations
July 2018 - May 2021
Don Bosco College of engineering
Position
  • Chair
July 2014 - June 2018
Vidyalankar Institute of Technology
Position
  • Professor (Associate)
August 2004 - July 2014
Thakur College of Science and Commerce
Position
  • Professor (Assistant)
Education
July 2007 - November 2013
Indian Institute of Technology Bombay
Field of study
  • Remote sensing

Publications

Publications (48)
Article
For a long time, Polarimetric Synthetic Aperture Radar (PolSAR) data was not available free of cost, so the applications were limited. With the recent increase in availability of PolSAR data due to missions like ALOS-2, UAVSAR and Sentinel, the data can be acquired through these sensors periodically. Since the volume of data is large, applying trad...
Article
Classification of Polarimetric Synthetic Aperture Radar (PolSAR) images is an incredibly challenging task. In early days researchers have applied parametric classifiers like maximum likelihood and Wishart classifiers. Later it is found that each class may or may not follow the Gaussian distribution hence researchers have used nonparametric classifi...
Poster
Full-text available
The service for agriculture domain focuses on location based assistance related to farming activities. information will be provided for different essential activities in nearby shops for pesticides.,List of farm related equipment vendors.
Conference Paper
Full-text available
Mobile robots are used in applications where a programmable repetitive task is to be performed. Automated mobile robotic systems employ techniques to determine the path that the robot needs to follow to reach the destination to perform its function. Evaluation of such a path is called path finding. Path finding problems utilize various algorithms t...
Conference Paper
Agriculture plays a key role in Indian economy. Almost 70% population of India stays in the rural area. India is a global agriculture powerhouse. Farming has been constantly remaining an extremely unordered sector. Farm management techniques are moved down over generations. Later generations pursue the veteran methods of farming as it is. Digital i...
Article
Full-text available
India is one of the world's fastest growing economy. Farming has been and will always remain a highly unorganized sector. Many of the systems are passed down through generations. Next generations follow the age old provided methods of farming as it is. To take intelligent and smart decisions about yields and crop gains, Government of India has take...
Conference Paper
Path finding problems employ implementation of certain algorithms which enable an autonomous robot to traverse a path from a start position to an end position. Generally, the approach uses manipulation of data from the sensors to make decisions needed to traverse along the desired path. A development to this approach is the use of images of the maz...
Conference Paper
India is an agricultural country; wherein most of the population depends on agricultural products. Disease on any plants leads to the considerable reduction in both the quality and quantity of agricultural products. Thus detection and diagnosis of disease at the right time is essential to the farmer. Accurate detection and identification of crop di...
Article
Full-text available
Pancreatic Tumor is one of the leading causes of cancer death worldwide. However, pancreatic cancer can be cured if it is detected at an early stage. In this paper, an attempt is made to detect pancreatic tumour from CT images. It uses image processing techniques and a basic classifier to detect the tumour. After the image pre-processed, minimum di...
Conference Paper
Maze solving problem involves determining the path of a mobile robot from its initial position to its destination while traversing through environment consisting of obstacles. In addition, the robot must follow the best possible path among various possible paths present in the maze. Applications of such autonomous vehicles range from simple tasks l...
Conference Paper
Pancreatic Tumor is one of the leading causes of cancer death worldwide. However, pancreatic cancer can be cured if it is detected at an early stage. In this paper, an attempt is made to detect pancreatic tumor from CT images. It uses image processing techniques and a basic classifier to detect the tumor. After the image pre-processed, minimum dist...
Conference Paper
A comparative assessment of optical and microwave data is essential to find out the complementarity of data for classification of various land features. In this paper, the classification accuracy of LISS-3 (IRS-P6) optical data over Mumbai is compared with multi-frequency PolSAR data to study the synergy between both the remote sensing techniques....
Article
The LISS-III is Linear Imaginary of Self Scanning Sensor. It is a multi-spectral camera operating in four spectral bands. There are three bands in the visible and one near infrared. LISS-III provides data with a spatial resolution of 23.5 m unlike in IRS-P6 (where the spatial resolution is 70.5 m). The classification of various land cover features...
Conference Paper
Mean and standard deviation of backscattering coefficients (σ0) of RISAT-1 data acquired over Mumbai in hybrid and linear dual polarizations have been analysed for various land features. Classification accuracy between RISAT-1 hybrid polarimetric data and RADARSAT-2 simulated hybrid polarimetric data has been compared. Wishart supervised and Suppor...
Conference Paper
The launch of RISAT-1 Indian remote sensing satellite on 26th April 2012, made it possible to collect hybrid polarimetric data from a space-borne sensor. The RISAT-1 C-band compact polarimetry data acquired over Mumbai is analyzed and assessed for classification of various land features and also compared with other fully polarimetric spaceborene SA...
Article
This paper presents the land cover classification capabilities of fully versus partially polarimetric SAR data for C- and L-band frequencies. Maximum Likelihood classifier with complex Wishart distribution and artificial neural network classifier (ANN) have been used for classification. The change in accuracy due to the phase information of SAR dat...
Article
Malignant melanoma is nowadays one of the leading cancers among many white-skinned populations around the world. Malignant melanoma, the most deadly form of skin cancer, has a good prognosis if treated in the curable early stages. Early diagnosis is the most effective treatment of melanoma. Well-trained dermatologists reach a high level of diagnost...
Conference Paper
Full-text available
Polarimetric Synthetic Aperture Radar (PolSAR) data is available at different frequencies and polarizations from various sensors like ALOS-PALSAR, Envisat ASAR, TerraSAR-X. This study compares the classification accuracies obtained with fully polarimetric and dual-polarization L-band ALOS-PALSAR data over Mumbai and Sundarban area. We have also com...
Article
Classification of polarimetric SAR images has become a very important topic after the availability of Polarimetric SAR images through different sensors like SIR-C, ALOS-PALSAR etc. The data over wet regions of India has been processed for classification of various land features like mangrove, ocean water, and clear water. In this study the utility...
Conference Paper
Wetland is one of the important ecosystems in the world. It provides a valuable habitat for a great variety of hydrologic plants, fishes, wildlife and insets. The data over wet regions of India has been processed for classification of various land features like mangrove, ocean water, and clear water. In this study the utility of NASA's Shuttle Imag...
Chapter
Effect of different decomposition techniques on the classification accuracy for polarimetric SAR data is studied. We applied different target decomposition techniques (both coherent and incoherent) on ALOS-PALSAR data over Sunderban, West Bengal district of India and later classified the data using various classification techniques. The same traini...
Conference Paper
The classification of various land cover features using fully polarimetric Synthetic Aperture Radar (SAR) data sets is an important application of radar remote sensing. The data acquired is over various parts of India are SIR-C L- and C-band data over Kolkata city and its surroundings. The field work was carried out in April 2009. Similarly, PALSAR...
Conference Paper
Polarimetric SAR data from ALOS PALSAR, SIR-C and ENVISAT ASAR over wet and arid regions were processed for classification and soil moisture estimation. HH and HV dual polarized ALOS PALSAR could classify wetlands of Mumbai coastal area with an accuracy of 96%, whereas fully polarized SIR-C data over Kolkata gave 92% accuracy. The accuracies are ba...
Conference Paper
SIR-C quad-pol MLC data and ALOS PALSAR quad-pol and dual pol SLC data over Indian sites have been processed using PolSARpro software for classification of various land features. The land features include ocean, clear water, settlements, agriculture fields, arid lands, grown and young forest, hilly terrain, mangrove forest, etc. The test sites used...
Article
Classification of polarimetric SAR images has become a very important topic after the availability of Polarimetric SAR images through different sensors like SIR-C, ALOS-PALSAR etc. In this paper we studied effect of different decomposition techniques on the classification accuracy for polarimetric SAR data. We applied different target decomposition...

Questions

Question (1)
Question
Nearest neighbor and k nearest neighbor are non parametric classifiers.

Network

Cited By

Projects