Vegetation change detection based on image fusion technique

Yonghong Jia; Yueyan Liu; Hui Yu; Deren Li

doi:10.1117/12.655214

3 November 2005 Vegetation change detection based on image fusion technique

Yonghong Jia, Yueyan Liu, Hui Yu, Deren Li

Proceedings Volume 6044, MIPPR 2005: Image Analysis Techniques; 60441D (2005) https://doi.org/10.1117/12.655214
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

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.

Citation Download Citation

Yonghong Jia, Yueyan Liu, Hui Yu, and Deren Li "Vegetation change detection based on image fusion technique", Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60441D (3 November 2005); https://doi.org/10.1117/12.655214

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