期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：1992
卷号：XXIX Part B3
页码：195-199
出版社：Copernicus Publications
摘要：It is known that the human visual system, unsurpassed in its ability to reconstruct surfaces, employs different cuesto solve this difficult task. The prevailing method in digital photogrammetry is stereopsis. However, texture mayprovide valuable information about the shape of surfaces. In this paper we employ Laws' method of textureenergy transforms to extract texture information from digital aerial imagery. The images are convolved withmicro-texture filt~rs to obtain local texture properties. Each micro-texture feature plane is transformed into antexture energy image by nlOving-window to render macro-texture features. Finally, the macro-texture featureplanes are combined and then clustered into regions of similar texture pattern. The method is implemented in ascale-space approach, and the boundaries obtained from texture are compared with physical boundaries of theimage
