自适应分割和分类算法在卫星图像中的应用

C. Lindquist, D. A. Tealdi
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引用次数: 3

摘要

卫星图像的使用继续增加。因此,开发用于自动分析的DSP算法变得越来越重要。直接应用的领域多种多样,如农业、森林砍伐、土壤侵蚀等。本文提出了自适应边缘算法来识别区域边界,以及模式识别算法来对边界内的区域进行分类。以某农业区的卫星图像为例,对这些算法进行了说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of adaptive segmentation and classification algorithms in satellite imagery
Use of satellite imagery continues to grow. Development of DSP algorithms for automated analysis is therefore becoming increasingly important. Areas of immediate application are diverse such as agriculture, deforestation, soil erosion, etc. This paper presents adaptive edge algorithms which identify region boundaries and pattern recognition algorithms to classify the regions within these boundaries. An illustrative example using a satellite image of an agricultural area is presented to demonstrate these algorithms.
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