Analysis of high resolution polarimetric SAR in urban areas

IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003 Pub Date : 2003-10-27 DOI:10.1109/WARSD.2003.1295210

C. Boehm, R. Schenkel

引用次数: 6

Abstract

Parallel to the conventional (statistical, spectral) description of mixed urban classes for image segmentation, the description on the basis of cues and related spatial properties is used within the classification process. Recently we concentrate very much on strong model-based classification, which may lead to a classification not covering the whole area due to the implementation of insufficient models (class descriptions). Major interest is related to urban features like urban fabric, continuous urban fabric (dense, medium dense), discontinuous urban fabric (dense residential, sparse residential, residential blocks) as well as industrial areas.

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城市高分辨率极化SAR分析

与用于图像分割的混合城市类别的传统(统计、光谱)描述类似，在分类过程中使用基于线索和相关空间属性的描述。最近我们非常关注基于模型的强分类，这可能会导致由于模型(类描述)的实现不足而导致分类不能覆盖整个领域。主要兴趣与城市特征有关，如城市结构，连续城市结构(密集，中等密集)，不连续城市结构(密集住宅，稀疏住宅，住宅街区)以及工业区。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003

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