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Proceedings Paper

Fusion of remote sensing images and GIS data for land use/cover change detection
Author(s): Hongyan Guo; Yaolin Liu; Gang Liu; Dan Chen; Zeying Lan; Dianfeng Liu
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Paper Abstract

Recently land use/cover change detection (LUCC) has become an important aspect in nature resource and environment monitoring and protection. A data fusion method for LUCC is presented concerning the situation that there are only the remote sensing (RS) images of updated period and the land use/cover maps of original period. Firstly, multi-spectral and panchromatic images of SPOT-5 are fused by using principle component analysis (PCA) algorithm on Erdas Imagine platform. Then, after the co-registration of the land use/cover map and RS image, the RS image of the updated period is classified by K-means algorithm and the precise classification chart of the land use/cover is obtained. The land use/cover map is transformed from vector to raster format and the land class code is used as each pixel's value of the transformed raster image. Finally, land use/cover changes are found by comparing the corresponding land class codes. The study area is located in Huangpi District of Wuhan City, and experiments demonstrate the proposed data fusion method for land use/cover change detection is a feasible resolution.

Paper Details

Date Published: 13 October 2009
PDF: 7 pages
Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 749205 (13 October 2009); doi: 10.1117/12.838401
Show Author Affiliations
Hongyan Guo, Wuhan Univ. (China)
Yaolin Liu, Wuhan Univ. (China)
Gang Liu, Wuhan Univ. (China)
Dan Chen, Wuhan Univ. (China)
Zeying Lan, Wuhan Univ. (China)
Dianfeng Liu, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 7492:
International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining
Yaolin Liu; Xinming Tang, Editor(s)

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