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Proceedings Paper

Vegetation change detection based on image fusion technique
Author(s): Yonghong Jia; Yueyan Liu; Hui Yu; Deren Li
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Paper Abstract

The change detection of land use and land cover has always been the focus of remotely sensed study and application. Based on techniques of image fusion, a new approach of detecting vegetation change according to vector of brightness index (BI) and perpendicular vegetation index (PVI) extracted from multi-temporal remotely sensed imagery is proposed. The procedure is introduced. Firstly, the Landsat eTM+ imagery is geometrically corrected and registered. Secondly, band 2,3,4 and panchromatic images of Landsat eTM+ are fused by a trous wavelet fusion, and bands 1,2,3 of SPOT are registered to the fused images. Thirdly, brightness index and perpendicular vegetation index are respectively extracted from SPOT images and fused images. Finally, change vectors are obtained and used to detect vegetation change. The testing results show that the approach of detecting vegetation change is very efficient.

Paper Details

Date Published: 3 November 2005
PDF: 8 pages
Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60441D (3 November 2005);
Show Author Affiliations
Yonghong Jia, Wuhan Univ. (China)
Yueyan Liu, China Univ. of Geosciences (China)
Hui Yu, Wuhan Univ. (China)
Deren Li, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 6044:
MIPPR 2005: Image Analysis Techniques
Deren Li; Hongchao Ma, Editor(s)

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