DocumentCode :
3105360
Title :
Application of unsupervised end member detection algorithms for spectral unmixing of hyperspectral data for mangrove species discrimination
Author :
Chakravortty, S. ; Choudhury, A.S.
Author_Institution :
Dept. of Inf. Technol., Gov. Coll. of Eng. & Ceramic Technol., Kolkata, India
fYear :
2012
fDate :
28-29 Dec. 2012
Firstpage :
81
Lastpage :
84
Abstract :
The Sunderban Biosphere Reserve of West Bengal, India is an ideal locale where hyperspectral image data may be successfully utilized for accurate mapping of nearly 94 mangrove species that exist there. The present study is the first attempt to use hyperspectral data in the Sunderban eco-geographic province to enable species level discrimination of mangroves. As priori knowledge of mangrove species distribution in most of the densely forested islands of the Sunderbans is not available, this paper applies unsupervised automated target detection algorithms such as N-FINDR and ATGP for detection of end members (mangrove species) from the hyperspectral image data. The pixels comprising of either homogeneous or mixed mangroves species are unmixed using both constrained and unconstrained linear mixing model and the fractional abundance images of the detected species generated. It has been found that the abundance images generated after unconstrained linear unmixing shows more accuracy with use of end members generated by N-FINDR algorithm as compared to that of constrained linear unmixing with ATGP as well as N-FINDR. The sub pixel classified results have led to the identification of species dominant in Henry´s Island to be Avicennia Marina, Avicennia Officinalis, Excoecaria Agallocha, Ceriops Decandra, Phoenix Paludosa and Aegialitis. The area also comprises mixed patches of Ceriops-Excoecaria Agallocha as well as Aegialitis-Avicennia Marina var aquitesima in many places.
Keywords :
forestry; geophysical image processing; hyperspectral imaging; image classification; object detection; remote sensing; vegetation mapping; ATGP; Aegialitis-Avicennia Marina var aquitesima; Avicennia Officinalis; Ceriops Decandra; Ceriops-Excoecaria Agallocha; Henry´s Island; India; N-FINDR algorithm; Phoenix Paludosa; Sunderban Biosphere Reserve; Sunderban eco-geographic province; West Bengal; densely forested islands; fractional abundance images; hyperspectral image data; mangrove species discrimination; mangrove species distribution; species level discrimination; spectral unmixing; unconstrained linear mixing model; unconstrained linear unmixing; unsupervised automated target detection algorithms; unsupervised end member detection algorithms; Conferences; Decision support systems; Geoscience; Intelligent systems; Sensors; sub pixel classification; unconstrained linear spectral;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Devices and Intelligent Systems (CODIS), 2012 International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4673-4699-3
Type :
conf
DOI :
10.1109/CODIS.2012.6422141
Filename :
6422141
Link To Document :
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