Block feature usage in new construction land change detection supplemented by land use data
ZHANG Xi1, LIU Shunxi2, CHEN Ge1, WANG Zhongwu2, YOU Shucheng2
1. College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China; 2. China Land Surveying and Planning Institute, Beijing 100035, China
Abstract：Aimed at solving the problems existent in the change detection of new construction land based on high-resolution optical images and land use data, this paper summed up the workflow of new construction land change detection supplemented by land use, analyzed the potential utility of spectra vegetation index, texture, gradient, and variance for land block in detecting new construction land, followed by a comparison of feature uses of unsupervised detection. Tests were carried out on 2 SPOT5 imageries covering rural-urban fringe areas located in Changping District of Beijing, with the utilization of 4 groups of features, which were spectra and vegetation index, spectra, vegetation index and texture, spectra, vegetation index and gradient, and spectra, vegetation index and variance. The results show that the performance using spectra and vegetation index feature is the best, and the addition of the other features would reduce the detection accuracy. Therefore, in order to achieve a good result in practical application, we should mainly use the result of spectra and vegetation index feature, aided by other results.
张茜, 刘顺喜, 陈戈, 王忠武, 尤淑撑. 面向新增建设用地发现的地块特征构建[J]. 国土资源遥感, 2013, 25(4): 98-103.
ZHANG Xi, LIU Shunxi, CHEN Ge, WANG Zhongwu, YOU Shucheng. Block feature usage in new construction land change detection supplemented by land use data. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(4): 98-103.
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2013, Vol. 25 
