NDLI: Emissivity retrievals from airborne infrared hyperspectral images coupled with visible to SWIR hyperspectral images

Content Provider	IEEE Xplore Digital Library
Author	Achard, V. Bourrely, J. Carle, P.
Copyright Year	2011
Description	Author affiliation: ONERA - The French Aerospace Lab, Theorical and Applied Optics Department (Achard, V.) \|\| ONERA - The French Aerospace Lab, Design and performance Evaluation of Systems Department (Bourrely, J.; Carle, P.)
Abstract	Emissivity extraction from hyperspectral infrared data is a challenge as it is a under-determined problem, and particularly with noisy data. A new method for emissivity retrieval dedicated to hyperspectral data that cover infrared as well as reflective spectral domains has been developed to overcome difficulties related to noise. The method is derived from the EARTH (surface Emissivity, temperature and Atmosphere Retrievals from Thermal infrared Hyperspectral image) algorithm [1], but takes advantage of the abundance of spectral information in the reflective domain, by including a classification step in the emissivity retrieval process. The attributes considered in this step are the first principal components of the reflective image (in radiance or reflectance units) that contain rich spectral information, and the brightness temperatures computed on the infrared image after spectral binning that give information on surface temperature. A k-means classification is carried out. Infrared spectral radiances are then averaged in each class and atmospheric compensation, based on neural networks followed by surface temperature / emissivity separation (TES), based on spectral smoothness is achieved. The benefits of the classification step are demonstrated on AHS data. Then the method is applied on simulated noisy data. The accuracy on emissivity is clearly improved when compared to results obtained without classification step.
Starting Page	1
Ending Page	4
File Size	251743
Page Count	4
File Format	PDF
ISBN	9781457722028
ISSN	21586268
e-ISBN	9781457722011
DOI	10.1109/WHISPERS.2011.6080954
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-06
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature sensors Atmospheric modeling Infrared Noise Hyperspectral Materials Temperature emissivity separation Hypercubes Neural network Hyperspectral imaging Atmospheric compensation
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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