Results 161 to 170 of about 732,743 (205)

Data Dimensionality Reduction based Geological Interpretation of AVIRIS-NG Hyperspectral Data

OSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES), 2021
This work reviews the three basic linear data dimensionality reduction techniques for an airborne hyperspectral image and their applications in feature ...
Prateek Tripathi, Rahul Dev Garg
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Radiometric calibration of AVIRIS-NG sensor using Indian desert sites

Advances in Space Research, 2023
K.N. Babu, Nandkishor Kumawat, Mehul R. Pandya   +2 more
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Real-Time Atmospheric Correction of AVIRIS-NG Imagery

IEEE Transactions on Geoscience and Remote Sensing, 2015
We demonstrate real-time model-based atmospheric correction onboard the Next Generation Airborne Visible/Infrared Imaging Spectrometer. We achieve a reduction in processing time from hours or days to seconds by modifying a standard physics-based atmospheric correction algorithm to support real-time execution. We achieved this reduction by modifying the
Brian D. Bue, David R. Thompson, Michael Eastwood, Robert O. Green, Bo-Cai Gao, Didier Keymeulen, Charles M. Sarture, Alan S. Mazer, Huy H. Luong   +8 more
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Atmospheric Methane Retrieval Based on Back Propagation Neural Network and Simulated AVIRIS-NG Data

IEEE Geoscience and Remote Sensing Letters
Methane (CH4) is one of the main greenhouse gases, whose retrieval is easily affected by atmospheric water (H2O) and surface albedo. In this letter, based on a radiative transfer model, the Airborne Visible/Infrared Imaging Spectrometer-Next Generation ...
Yunxia Huang, Guizhen Liu, Lingxiao Wang, Huajie Chen, Shuwu Xu   +4 more
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Selection of optimal bands of AVIRIS – NG by evaluating NDVI with Sentinel-2

Earth Science Informatics, 2021
The AVIRIS-NG hyperspectral data consists of continuous spectral bands with low bandwidth, Sentinel-2 multispectral image has less number of bands with higher bandwidth. Several studies are carried out to calculate the Normalized Difference Vegetative Index (NDVI) of hyperspectral data.
Veerendra Satya Sylesh Peddinti, Venkata Ravibabu Mandla, Shashi Mesapam, Suresh Kancharla   +3 more
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Spectral unmixing with hyperspectral datasets of AVIRIS-NG

2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), 2017
The AVIRIS-NG (Airborne Visible InfraRed Imaging Spectrometer — Next Generation) data set is in a cube format in which the signature of spectrum gives each pixel of the underlying materials in that image area. The motivation of unmixing is to find a collection of pure spectral constituents.
Vidhi Joshi, Satadru Bhattacharya, Ritika Lohiya   +2 more
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Impact of bare soil pixels identification on clay content mapping using airborne hyperspectral AVIRIS-NG data: spectral indices versus spectral unmixing

Geocarto International, 2022
Hyperspectral imaging spectroscopy has facilitated the mapping of soil properties at large scales, but since the presence of photosynthetic or non-photosynthetic vegetation affects the reflectance spectra, soil properties mapping is limited to bare soil ...
Elizabeth Baby George, C. Gomez, D. Nagesh Kumar, S. Dharumarajan, M. Lalitha   +4 more
semanticscholar   +1 more source

AVIRIS-NG hyperspectral data for biomass modeling: from ground plot selection to forest species recognition

Journal of Applied Remote Sensing, 2023
. Forest biomass is an important biophysical parameter, which delivers vital and valuable information about forest health, growth, productivity, carbon cycle monitoring, forest degradation, and its ecosystem.
Rajani Kant Verma, Laxmi Kant Sharma, Nikhil Lele   +2 more
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Non-Linear Spectral Unmixing: A Case Study On Mangalore Aviris-Ng Hyperspectral Data

2020 IEEE Bombay Section Signature Conference (IBSSC), 2020
Due to the low spatial resolution of the sensor, multiple scattering and intimate mixing at the ground, the majority of the pixels in the hyperspectral image are of mixed type. In this case, spectral unmixing is used to decompose this mixing effect. From the literature, it is clear that non-linear unmixing is more accurate and robust compared to linear
Dharambhai Shah, Y N Trivedi, Tanish Zaveri   +2 more
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Harnessing Spectral Libraries From AVIRIS-NG Data for Precise PFT Classification: A Deep Learning Approach.

Plant, Cell and Environment
The generation of spectral libraries using hyperspectral data allows for the capture of detailed spectral signatures, uncovering subtle variations in plant physiology, biochemistry, and growth stages, marking a significant advancement over traditional ...
Agradeep Mohanta, G. Sandhya Kiran, R. K. M. Malhi, Pankajkumar C. Prajapati, Kavi K. Oza, Shrishti Rajput, Sanjay Shitole, P. K. Srivastava   +7 more
semanticscholar   +1 more source