Hyperspectral Imaging - Science topic

2025 2nd International Conference on Remote Sensing and Global Positioning Algorithm (RSGPA 2025) will be held on June 20-22, 2025 in Leshan, China.

The topics of interest for submission include, but are not limited to:

1. Remote Sensing

Hyperspectral Image Processing

Optical Remote Sensing

Microwave Remote Sensing

Remote Sensing of Atmospheric Environment

Remote Sensing Information Engineering

......

2. Algorithms for Global Positioning

High Performance Computing

Data Structures

Advanced Numerical Algorithms

Stochastic Algorithms

Quantum Computing

......

All papers, both invited and contributed, will be reviewed by two or three expert reviewers from the committees. After a careful reviewing process, all the accepted papers of RSGPA 2025 will be published on conference proceedings and will be submitted to EI Compendex, Scopus for indexing.

Full Paper Submission Date: May 18, 2025

Registration Deadline: June 11, 2025

Final Paper Submission Date: June 13, 2025

Conference Dates: June 20-22, 2025

Please send the full paper(word+pdf) to Submission System:

Hello Everyone,

I was reading an article about HSI (hyperspectral imaging)and came across figures representing surface scores for each PC. What do these figures represent?

Working in hyperspectral remote sensing? You can publish your work in this special issue! Discounts are available!

Extended deadline for manuscript submissions is 15 March 2024.

Hyperspectral Imaging, Hyperspectral Classification, Statistical Test

Hello, Dear scientific community,

I want to delineate hydrothermal alteration zones using an RGB Band combination on ASTER data. I've already consulted the literature on this topic and I found that 468 is the most relevant band combination for alteration and lithology discrimination. but I want to know if is there any mathematical method to calculate and select the most appropriate band combination.

Which bands are suitable to choose as RGB, Moreover should it convert to gray in calculations or use band to band evaluate? I would appreciate to guide me.

Hello every one, in my  current research, i am working with AVIRIS data for rock mapping and also mineral prospectivity determination by mineral potential zones mapping. In this case there are lot of issues  regarding data processing and interpretations, I have applied MNF, CEM SID but i did not make a good result in output. so in this regard if anyone can help me , i will be highly obliged...thank you

Non-Invasive Skin Cancer Diagnosis Using Hyperspectral Imaging

Hi,

i am working on plant stress detection using HSI, can any suggest where datasets is availsble or send plants Hyperspectral Image Datasets. It's helpful for my further research.

A ground truth map is essential for supervised classification of hyperspectral image cube .However, data resources are limited, up till now, almost all the papers I've read use the Indian Pine, Washington D.C.Mall, Salinas, Pavia University. It seems all we have are the four or five sets of data cube. With the development of state-of-art algorithms for hyperspectral image classification, data should be updated too. Hope anybody can provide me new data with Ground truth map, or recommend me a website to download.

Hi, I am currently willing to work in Hyperspectral image classification. I am a beginner in the research domain. Please Anyone suggests narrow down the latest trends suitable for further work. Please help me in that matter.

This preprint compares the most advanced automated commercial analysis approaches for vibrational spectroscopy including Bruker Lumos II in combination with Purency Microplastics Finder R2021a (FPA-FTIR), Agilent 8700 LDIR (QCL) in combination with Clarity, and WITec alpha300 R in combination with Particle Scout.

Its really worth reading.

Hello everyone,

I captured some images from of hyperspectal imaging system. My final aim to identify the material composition from the images. However before that i need to perform some image preprocessing like

calibration, noise removal, feature extraction , dimensionality reduction. can you please suggest some code or routine to the do these task?

Also after this task, i wanted to apply classification algorithm so it can detect the material from it

Can you guys tell me a way to do in the Matlab. Thanks a ton.

I believe that we need to share our experience in publishing in the field of Hyperspectral Imaging or remote sensing? What is the best journal that you publish with? What is the worst experience did you have? Why don't we have a society for researchers who are interested in that field and collaborate with each other?

Full-time, benefited position with the Department of Viticulture & Enology/Viticulture and Enology Research Center through the California State University, Fresno Foundation. The Department of Viticulture & Enology/Viticulture and Enology Research Center is seeking a PostDoctoral Scholar who is experienced in computer vision or remote sensing and is passionate about Machine learning/Deep learning, automated and digital agriculture, and chemometrics. We are interested in working with a motivated scholar who can think creatively and practically about production-oriented remote sensing and “big data” applications in agriculture. Strong quantitative background is preferred (as demonstrated by publications), experience with unmanned aerial vehicle and hands-on electronic ability is a plus. This position is based within the Department of Viticulture & Enology/Viticulture and Enology Research Center, through the California State University, Fresno Foundation. The selected candidate will also have the opportunity to collaborate nationwide with scholars from other universities (Cornell, UC ANR) within multi-institution projects funded from USDA, CDFA and CSU-ARI. Within overarching project goals, the candidate will have intellectual freedom to develop and pursue the research directions they find most interesting. Mentorship will focus on helping the candidate meet their professional development goals, whether in academia or elsewhere. The position is 100% time (40 hours per week), benefited, and funded for 12 months initially, may be renewed based on funding and contingent on satisfactory progress.

PLEASE FIND THE FULL CALL AT THIS LINK:

https://bit.ly/38blKD6

I am looking for a tutorial or course to learn how to open, visualize , process hyperspectral images in .hdr , .raw format using python. Any recommendation for a tutorial is appreciated ?

Thank you in advance

I have hyperspectral data of Indian pines and the ground truth related to that. Now I want the spectral signature(information) of the material present in the Indian pines. I have tried searching the standard libraries like NASA's JPL but some materials more precisely plants like alfalfa are not present in there. can anyone help?

indian pines source

I've come across a couple of publicly available hyperspectral image datasets from the website http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes

Now, my concern is regarding whether or not we can use these datasets directly for building machine learning based models.

Are these datasets geometrically and atmospherically correct? Or do these datasets further require atmospheric and geometric corrections prior to building any machine learning based model?

Also, how can one be assured that a captured hyperspectral image scene is atmospherically and geometrically correct?

Spaceborne Hyperspectral observation (i.e. hyperspectral remote sensing in uv-visible-infrared spectral range) of Earth and for Planetary science, plays a very important role in improving scientific understanding, environmental and resource monitoring.

Signal to Noise ratio (SNR) is a very important parameter (or quality metric) of any Hyperspectral instrument indicating its potential to meets its desired observational goals.

Due to demanding need on higher spectral and spatial resolutions, it become challenging to good / high SNR to meet the desired observational goals.

In view of this I wish to discuss or seek suggestions of various options or ideas by which SNR of Hyperspectral instrument can be improved. Ideas or options may be either for instrument design aspects or for image or data processing aspects.

I need to get a satellite image from a site in the northern part of Iran for remote sensing research usage. I wonder where I can find such data?

A friend suggested these websites, but they didn't cover 1-meter hyperspectral imagery from the expected region: "Open Aerial Map, Google Earth Pro, Airbus."

The final goal is to collect data for ecological services calculation (O2 release Co2, No2, So2 absorbance) of vegetation of the specified region. If you know a better way to doing so, also very helpful.

I am looking for hyperspectral images from UAV that captured forest or forest plantation. Do you know about some source where I can download some examples?

Thank you

Martin

I am unable to proceed after loading the mat file. I have loaded the mat files of indian pine image and indian pine ground truth. How to proceed?

Hyperspectral medical imaging, hyperspectral image for cancer/tumor detection

Biomedical

Medical hyperspectral imaging

I am using autoencoder networks for deep learning based feature extraction purpose for spectral images. For the time being, the number of hidden nodes in the network is randomly chosen.

Hyperspectral imaging is a widely used technology for industrial and scientific purposes, but the high cost and large size of commercial setups have made them impractical for most basic research, and this leads us to a continuous search for the best HSI-Cam that support field and lab conditions. Let's provide a comprehensive replies to this question to narrow our selection for the best!

open source tool for Sensor error correction in Hyperspectral Image processing

Hey,

I am looking into the feasibility of attaching a Specim FX17 sensor to a multi rotor system.

Specs wise it looks possible, sensor is 1.4kg and Matrice M600 max payload is approx 15kg.

Does anyone have any experience?

Many thanks,

I am looking for free Hyperspectral Image datasets on agricultural area containing reflectance values in .mat format. Can anyone please suggest any such datasets?

Is Raman-Spectroscopy equaly limited in the detection dark/black materials as NIR-Spectroscopy?

Are there already Raman-Spectrometers with HSI (Hyperspectral Imaging) like possibilities available?

I am working on hyperspectral image classification. I have just started my work but don't know how to load and process hyperspectral images in Matlab. Please help me.

In the paper "Design Goals and solutions for display of hyperspectral images" by N.Jacobson, a method for enhancing CIE_1931 CMF beyond visible range is described but I am not sure how it can be implemented in MATLAB. 

How to directly get First Derivative band images from hyperspectral reflectance band images (0 to 288 bands) using ENVI software or band math??

1. I have the stacked reflectance 288 bands in a .dat file.

2. I want to know how to convert reflectance spectral bands to first derivative reflectance spectral bands using by software e.g. ENVI, ArcGIS, IDL, Matlab, Savitzky–Golay transfromation, and so on.

Thanks in advance and cheers.

I have an aviris dataset with 776 samples, 21576 lines and 224 bands. It is difficult reading this into matlab as i run into memory issues. AM taking of the possibility of a dimensionality reduction technique without loosing the information in the data. Can anyone please suggest the best way to go about this.

many thanks and best regards

Hi,

I am working on hyperspectral image analysis. I want to apply PCA on my hyperspectral dataset to reduce spectral dimensions. My question is Why do we need to center the hyperspectral data(mean subtraction) before applying Principal component analysis(PCA)? Is this step is mandatory? What will happen if we did not center the hyperspectral data before applying PCA.

When i googled about this I got following links.

https://www.quora.com/Why-is-it-beneficial-to-center-and-normalize-the-data-before-running-Principal-Component-Analysis-on-it

https://www.quora.com/Why-do-we-need-to-center-the-data-for-Principle-Components-Analysis

From these links, I feel data centering is required to maintain same scale for all features before applying PCA. But coming to hyperspectral data cube, generally all spectral bands will be in same scale.

So, Do we need to center the hyperspectral data before applying Principal component analysis(PCA)?? What will happen if we did not center the hyperspectral data?

Thanks.

How to download a hyperspectral soil image containing different types of soils and organic content

Transflectance

I want to develop 4D compression scheme for the 4D data.

I want to know from where I should get the same.

Hi,

There are spectra collected by asd spectroradiometer in lab environment with one source lamp on. Snapshot imaging done on the same sample with a different source lamp in the same lab environment. Extracted spectra from the snapshot images and continuum removed spectra of both asd and snapshot are compared. Although they match in absorption features, they show a certain difference in the spectra. How will I model it? Is there a way to do some quantitative analysis between the spetra of these two sensors. Attached are the images of plots showing thick lines representing asd and dashed lines representing the snapshot imager. The samples used were different beach sand samples.

Regards,

Sundara

Can you please provide me the remote sensing sattelite data set for landcover change analysis of sundarban mangrove forest bd,india location ?

If possible then send me the prepossessed dataset in TIFF or MAT format.

You can provide me the source link..

In continuation of "finding datasets for research" We further request you to provide leaf datasets of Hyperspectral Images for the purpose of our Project.This would greatly help us to further make our project successful. 

Please do us the needful at the earliest possible.

hello

i am working with hyperspectral pixel mixtures and i want to create a netowkr that maps the abundance values of the mixtures to the spectral signatures.

Basically my input vector is 1x11 and output vector is 1x91

1x11 represents the mixture values for example [0.25,0,0,0.5,0,0,0,0.25,0,0,0] and the output label is the 1x91 spectral values or a 1x91 dimensional vector of normalized values

As you can see the input values contain many zeros and i want to create a mapping between these input mixture values to the output reflectance values.

Should i use dense layers in this case or approach it in another way?

There are two objectives of the segmentation by using R as follows:

Extracting the data of the 10 objects and store in an excel file from an hyperspectral image containing 10 objects of different shape and size.

After objects data extraction from the hyperspectral image, the excel file data will be numbered automatically the objects data to relevant objects i.e. object 1, object 2, ...................object 10.

thanks for any help and suggestion

I have a HYSI image from the NRSC-ISRO site. I want to read the GeoTiff file. I also have images from USGS.

* i have collected soil samples during hyperion pass over the study area and chemical analysis was done.

* Lab spectral signatures has not taken.

* How can i correlate the chemical analysis results to hyperion data after preprocessing?

I want to obtain the multispectral image correspond to the hyperspectral image, but I don't know the spectral response function of EO-1 Ali, I need help.

I am doing research in content based image retrieval using hyperspectral image. I seen many of the websites block the hyperspectral image. Can someone send me link in hyperspectral image dataset.

Mixed pixels-based classification is my research area; I want to know trends of this.

Processing starts with correction and further with image fusion

For hyperspectral image, each spectral curve represents the reflectance of a region, but there are several endmembers in the region, I can get the ratio value of each endmember, I want to obtain the reflection of each endmemer.

I using GANs for classification in my project .

I am working with keras ...

Did you implement the code related with this article in keras ?

The code is public somewhere ?

Thanks in advance,

Rui

What is the tentative cost of Hyperspectral Imaging Camera?

I have a image dataset (hyperspectral) & i am using matlab as a tool. I want to implement the PCA on this hyperpspectral image dataset.

While spatial, spectral and temporal advantages of multitemporal hyperspectral sounder (SAR) images provide opportunities for advancing the compression and classification techniques. So I need multitemporal remote sensing SAR images for evaluating the performance of my 4D compression techniques. Currently, I evaluate my methods by multitemporal multiapectral data.

So, if you know the source of Multitemporal SAR images then please give the link here.

Thanks & Regards

Masud Ibn Afjal

Dear Researchers,

Does anyone know where can I find a HSI database for any object or material, but with more than 25 spectral images (i.e. 25 *x*y*lambda)?

It would be nice, if somebody could propose a HSI database for agricultural, medical, food, and circuits. Thanks!

Feel free to share your database with me, I have no problem to cite your database.

Thanks in advance.

Best, Vivek

I found this book " Hyperspectral Image Processing" , written by Liguo Wang e Chunhui Zhao (2015). I don't know if it is well focused to the maximization of satellite multispectral images (atmosphere corrections, orthorectification, etc.) and the endmembers comparison. Also, the edition of this book is 2015, and I would like to know if there are more recent books regarding such topics.

For hyperspectral data, I want to do spectral unmixing,but then a pixel include several endmembers, does there any ways or algorithms to determine the location of endmembers?

Hi,

While using the HySpex camera, I am facing the problem of Keystone distortion across the scan line. Although I am using the camera for close range imaging, this is a well-known problem in remote sensing community and therefore, I will appreciate if someone can help me to correct it. I have the sensor model file as well, but I am not sure how to use it for correction...

The fusion of panchromatic images, providing high spatial resolution and multi/hyperspectral images of lower spatial, but high spectral resolution, is well known under the term of pansharpening. In several talks, I've often noted the statement, that spectral overlapping of PAN and MS/HS sensors is a requirement to apply pansharpening approaches. I would like to ask whether this spectral overlap is a strict and general requirement or if a high correlation of spatial information between a PAN image and upscaled MS/HS band visualizations or components is sufficient? Does it depend on the choice of the algorithm (CS, MRA) ? Looking forward to your answers. Kind regards, Chris.

Hyperspectral Image Analysis - Two Assumptions:

1. Existence of Pure Pixel

2. Absence of pure pixel (Presence of mixel pixels alone)

Moreover, mixed Pixed - Can use either Linear Mixture Model/ Non-Linear Mixing Model  for unmixing.

My query is:

  - Pure Pixel Assumption : Does it comes under Hyperspectral Unmixing problem?

  -whether  Xi = Sai + ni => Linear Mixing Formula has to be considered for Pure Pixel Assumption problems.

Kindly clarify my doubts.

When I am viewing cuprite data in matlab, the pixel values were like 0.0086, -0.0046, 0.0121. 

I am using the cuprite dataset(f970619t01p02r02 data set - reflectance), which is availble in http://aviris.jpl.nasa.gov/data/free_data.htmlwebsite.

PPI is one of the endmember extraction algorithms. I want to know, under which category does PPI algorithm comes in? Supervised or Unsupervised?

Please reply ASAP...

I want to generate the test & train data samples from the hyperspectral image of indian pines & pavia university.

I also want to know a single pixel have multiple values due to bands. Which value is taking for training & testing process.

I am using Matlab as a simulation tool.

I am trying to extract urban trees what method I can use apart from supervised classification? is there VI that can be used apart from NDVI. I am particularly looking for automated method.

I want to know the maximum possible value at each of the 220 spectral bands of AVIRIS? is there a way to know it? FWHM is available but i dont understand what is it??

For quantitative purposes, hyperspectral imaging seems to lead to a bigger prediction error when comparing its prediction ability to traditional NIR instruments. Despite its advantages and potential, this seems to me a relevant issue for a full implementation of this technology. 

Which factors are in your opinion the most important ones in leading to lower performance? There might be the effect of sample position, illumination condition, the difference which is obtained when looking at single pixel level or averaging areas (especially when applying the calibrations!), the fact that the sample is moving (in a push-broom system, for example), and further error is obtained when looking at single objects instead of average batches.

Thus, are there actual benefits of using HSI over traditional instrumentation to study the composition of food and agricultural products? 

I have the ground truth map of indian pine and the pavia university images, but this ground truth is for classification not for segmentation

the current cloud removal algorithms are almost aim to the multispectral or pan remote sensing image,i want to know that does these methods suitable for hyperspectral image.

I am looking for a microscope for hyperspectral image in UV and visible; and is a little dificult to identify some characteristics of the detector . I know that the signal noise can be low and the optics poor to measure small bands 

there is no meaning have a high signal/noise camera and a poor optic and poor wavelength selection 

I am using the reference Medical hyperspectral imaging: a review

Guolan Lu

Baowei Fe

thank you

Recently, I have completed a research work on the application of spectral imaging for classification of browning level of development in button mushroom. The paper is currently under evaluation for possible publication in a scholarly journal. In the 2nd round of review process, one of the referees asked me to make some modifications on the paper as bellow:

"Many studies show that ks algorithm is not a suitable method for sample partition because this method leads to different distribution of calibration and test samples.Compared with KS algorithm, the random sample partition is a more ideal sample partition method, hence, the manuscript should use random method to create calibration and testing dataset. More importantly, this random sample partition method needs to be repeated several times, and the statistic method(such as T-test) should be used for model evaluation."

Personally, I am not in agreement with this comment. As I know, most of researchers prefer to use Kennard-Stone (KS) algorithm instead of random selection approach for dataset splitting. Please correct me, If I am wrong. What do you think about pros and cons of KS vs. random selection? Should I ago according to the reviewer comment and consequently repeat the analysis based on random partitioning? 

Hi,

Can I use MODIS corrected reflectance (true color) obtained from Worldview to track turbidity front? I do not want to know the concentration, only the position and area. Instead this, do I have to process the image from ocean color page?

Thank you in advance.

I'm looking for airborne image's data base for crop monitoring ( visible/ NIR). is there any open access one ?

I 'd like to do band selection on hyperspectral images, i Found a lot of techniques in literature. which one is the most significant? and is there any libraries that can help me?

Hi everyone,

I have a query and a request; query about how to make  effective per-processing steps in AVIRIS (Hyper- spectral) data processing? I have done some steps like empirical calibration, MNF and some more. But i could not remove noises from radiance data. So in this situation, my kind request to you all if anybody has experience, knowledge or expertise, please  en-light me with yours wisdom.

Add on: If you can please attach some link or literature of good publications related to pre-processing of AVIRIS data.

Thank you 

In hyperspectral analysis, once pure pixel locations are fouund out, how to compare it with the target spectra?

The well known hyperspectral reflectance datasets are Foster and CAVE. Is there any other such reflectance dataset which consists of natural scenes and illuminant information is provided separately? 

Whether hyperspectral sensor penetrate the surface of earth or it captures the surface level material?

i am looking for HJ-1A HSI (Hyperspectral Imager) Data. Can anyone post the links or give information regarding this?

What is Extended Morphological Profiles in hyperspectral imaging. I need to apply in pavia dataset (Mat file). Detail of the file is present in the below link.

What is the role of covariance matrix in the feature extraction problems (hyperspectral images).

I have pavia dataset (3D matrix) of hyperspectral image. here i want to know what is the role of covariance matrix in extracting features.