摘要
针对基于高空间分辨率光学图像和土地利用数据的新增建设用地发现的问题,在总结地块辅助新增建设用地发现技术流程的基础上,分析了面向地块的光谱、植被指数、纹理、梯度、方差等特征用于新增建设用地发现的潜力,开展了针对新增建设用地非监督发现的地块特征构建研究。利用北京市昌平区城乡结合部的2期SPOT5融合图像,开展了对比试验。结果表明,单纯使用地块光谱与植被指数特征发现精度最高,其他特征的加入虽然降低了发现精度,但能发现某些特定的变化。实际应用中,建议以基于地块光谱与植被指数特征的发现结果为主,辅助使用加入其他特征的发现结果,以达到较好的新增建设用地发现效果。
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 re- sults.
引文
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