Land-Use/Land-Cover Change Detection Using Improved Change-Vector Analysis
Change-vector analysis (CVA) is a valuable technique for land-use/land-cover change detection. This article proposes a new method that can improve CVA. The improved method has two components: Double-Window Flexible Pace Search (DFPS), which aims at determining the threshold of change magnitude; and direction cosines of change vectors for determining change direction (category) that combines single-date image classification with a minimum-distance categorizing technique. The authors report on the use of the improved CVA for the detection of the land-use/land-cover changes in the Haidian District, Beijing, China. The authors conclude that good data quality (similar acquisition dates in different years and cloud-free) and image radiometric normalization have a strong impact on the final change-detection result, because the proposed method is based on an assumption of radiometric similarity among multi-temporal remotely sensed data. The experimental results indicate that the improved CVA has good potential in land-use/land-cover change detection, particularly when ancillary information for classification is only available for one date.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00991112
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Authors:
- Chen, Jin
- Gong, Peng
- He, Chunyang
- Pu, Ruiliang
- Shi, Peijun
- Publication Date: 2003-4
Language
- English
Media Info
- Media Type: Print
- Features: Figures; Maps; References; Tables;
- Pagination: pp 369-379
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Serial:
- Photogrammetric Engineering and Remote Sensing
- Volume: 69
- Issue Number: 4
- Publisher: American Society for Photogrammetry and Remote Sensing
- ISSN: 0099-1112
Subject/Index Terms
- TRT Terms: Case studies; Land use; Photogrammetry; Photointerpretation; Radiometric analysis
- Uncontrolled Terms: Change detection; Land cover
- Geographic Terms: Beijing (China)
- Subject Areas: Design; Highways; Planning and Forecasting; I21: Planning of Transport Infrastructure;
Filing Info
- Accession Number: 01001832
- Record Type: Publication
- Files: TRIS
- Created Date: Jul 14 2005 10:11AM