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摘要:
The accuracy of change detection on the earth’s surface is important for understanding the relationships and interactions between human and natural phenomena. Remote Sensing and Geographic Information Systems (GIS) have the potential to provide accurate information regarding land use and land cover changes. In this paper, we investigate the major techniques that are utilized to detect land use and land cover changes. Eleven change detection techniques are reviewed. An analysis of the related literature shows that the most used techniques are post-classification comparison and principle component analysis. Post-classification comparison can minimize the impacts of atmospheric and sensor differences between two dates. Image differencing and image ratioing are easy to implement, but at times they do not provide accurate results. Hybrid change detection is a useful technique that makes full use of the benefits of many techniques, but it is complex and depends on the characteristics of the other techniques such as supervised and unsupervised classifications. Change vector analysis is complicated to implement, but it is useful for providing the direction and magnitude of change. Recently, artificial neural networks, chi-square, decision tree and image fusion have been frequently used in change detection. Research on integrating remote sensing data and GIS into change detection has also increased.
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篇名 Investigating the Use of Remote Sensing and GIS Techniques to Detect Land Use and Land Cover Change: A Review
来源期刊 遥感技术进展(英文) 学科 医学
关键词 CHANGE Detection TECHNIQUES REMOTE Sensing GIS LAND Use and LAND COVER CHANGE
年,卷(期) ygjsjzyw,(2) 所属期刊栏目
研究方向 页码范围 193-204
页数 12页 分类号 R73
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研究主题发展历程
节点文献
CHANGE
Detection
TECHNIQUES
REMOTE
Sensing
GIS
LAND
Use
and
LAND
COVER
CHANGE
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期刊影响力
遥感技术进展(英文)
季刊
2169-267X
武汉市江夏区汤逊湖北路38号光谷总部空间
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148
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0
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