NDLI: Segmentation as postprocessing for hyperspectral image classification

Content Provider	IEEE Xplore Digital Library
Author	Jimenez, L.I. Plaza, A. Ayma, V.A. Achanccaray, P. Costa, G.A.O.P. Queiroz Feitosa, R.
Copyright Year	2015
Description	Author affiliation: Dept. of Technol. of Comput. & Commun., Univ. of Extremadura, Caceres, Spain (Jimenez, L.I.; Plaza, A.) \|\| Comput. Vision Lab., Catholic Univ. of Rio de Janeiro, Rio de Janeiro, Brazil (Ayma, V.A.; Achanccaray, P.; Costa, G.A.O.P.; Queiroz Feitosa, R.)
Abstract	Hyperspectral imaging is a technique in remote sensing that collect hundreds of images at differents wavelength values in the same area of the Earth. For instance, the Airborne Visible Infra-Red Imaging Spectrometer (AVIRIS) sensor of NASA capable to obtain 224 spectral channels in a wavelength range between 400 and 2500 nanometers. As a result, each pixel of the image can be represented as a spectral signature. Image segmentation is the process of dividing a digital image into groups of pixels or objects. Hyperspectral image classification is an important and active area dedicated to identifying each pixel in the image with an exclusive material/object class. Several efforts had been done in this field using spectral and spatial information separately or simultaneously due to improve the performance of the classification techniques. In previous works have been used similar techniques using spectral and spatial information separately or simultaneously. In this work we have focused on a region-growing segmentation algorithm, applied as postprocessing on the standard classification, produces by a SVM classifier, in order to improve the performance of the classification technique. Experimental results with a real hyperspectral data set over the city of Pavia are included.
Starting Page	1
Ending Page	4
File Size	1475687
Page Count	4
File Format	PDF
e-ISBN	9781479985692
DOI	10.1109/EUROCON.2015.7313746
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-08
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Hyperspectral imaging Support vector machines Image resolution Standards
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 Libarray 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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