What’s wrong with pixels? Some recent developments interfacing remote sensing and GIS
What’s wrong with pixels? Some recent developments interfacing remote sensing and GIS
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发表时间：
2001
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通讯作者：
T. Blaschke;J. Strobl
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作者：
T. Blaschke;J. Strobl
近年来，遥感在分辨率提高、数据可用性和公众认知方面取得了巨大进展，但绝大多数应用依赖于20世纪70年代开发的基本图像处理概念：在多维特征空间中进行逐像素分类。有人认为这种方法没有利用任何空间概念。特别是在高分辨率图像中，相邻像素很可能与所考虑的像素属于同一土地覆盖类别。作者主张对反映现实中我们感兴趣对象的同质像素组进行分类，并使用算法根据图像中的纹理或分形维数等上下文信息来描绘对象。
While remote sensing made enormous progress over the last years in terms of improved resolution, data availability and public awareness, a vast majority of applications rely on basic image processing concepts developed in the 70s: per-pixel classification of in a multi-dimensional feature space. It is argued that this methodology does not make use of any spatial concepts. Especially in high-resolution images it is very likely that neighbouring pixels belong to the same land cover class as the pixel under consideration. The auth-ors argue for classification of homogeneous groups of pixels reflecting our objects of interest in reality and use algorithms to delineate objects based on contextual information in an image on the basis of texture or fractal dimension.