Automatic change detection of Belum-Temengor forested area using multitemporal SAR images

Author

Thayalan, A. ; Abas, F.S. ; Koo, V.C.

Author_Institution

Fac. of Eng. & Technol., Multimedia Univ., Ayer Keroh, Malaysia

fYear

2009

fDate

18-19 Nov. 2009

Firstpage

318

Lastpage

321

Abstract

Two C-band RADARSAT synthetic aperture radar (SAR) images are used to automatically detect changes that occured in between year 2004 and 2008 due to extensive deforestation, at Gadong River area of Belum-Temengor, Northern region of West Malaysia. Changes are detected by automatically finding the best threshold value of the standard log-ratio image that is derived from the two multitemporal SAR images. Minimum error thresholding is performed using relative entropy method. The result is validated using the difference of two Normalised Difference Vegetation Index (NDVI) images generated from two SPOT-5 images.

Keywords

entropy; forestry; radar detection; radar imaging; synthetic aperture radar; vegetation; Belum-Temengor forested area; C-band RADARSAT synthetic aperture radar image; automatic change detection; minimum error thresholding; multitemporal SAR images; normalised difference vegetation index images; relative entropy method; standard log-ratio image; threshold value; Backscatter; Laser radar; Radar detection; Remote monitoring; Rivers; Spatial resolution; Synthetic aperture radar; Testing; Vegetation mapping; Wildlife; Change detection; log-ratio technique; multitemporal synthethic aperture radar (SAR) images; threshold;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4244-5560-7

Type

conf

DOI

10.1109/ICSIPA.2009.5478668

Filename

5478668