灾害学Issue(3)：97-101,5.DOI:10.3969/j.issn.1000-811X.2014.03.018
基于纹理特征的高分辨率遥感影像灾害监测应用
Remote Sensing Change Detection Method Based on Texture Characteristic in Natural Disaster Monitoring
摘要
Abstract
Change detection using remote sensing images is one of the important methods on obtaining land feature information,and is widely used to monitoring the natural disaster.In the change detection methods based on image gray information,the threshold selection is affected by pseudo change information from the effect of sensors and environmental factors.Texture feature has a property of shift invariant,which can use the spatial structure in-formation in change detection and avoid the effect of pseudo change from image gray.An algorithm was presented that using the texture characteristic and image segmentation techniques.The algorithm was validated and analyzed using the sample data.The results show that the algorithm based on the texture characteristic can effectively extract the land features with a better precision.关键词
纹理特征/遥感图像/灾害监测/变化检测Key words
texture characteristic/remote sensing images/hazard monitoring/change detection分类
信息技术与安全科学引用本文复制引用
王丽涛,王世新,周艺,刘文亮,王峰,王福涛..基于纹理特征的高分辨率遥感影像灾害监测应用[J].灾害学,2014,(3):97-101,5.基金项目
国家科技支撑项目（2011BAH23B03）；国家自然科学基金资助项目 （）
