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Feature extraction algorithm for estimation of agriculture acreage from remote sensing images

机译:利用遥感影像估算农业面积的特征提取算法

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摘要

Feature plays a vital role in classification task. In this context, feature selection and feature extraction is an essential module for the classification of any kind of data, namely textual database, image database consisting of simple images or complex images like remote sensing images collected through satellites. Use of particular features is domain and problem specific. For instance, very specific features different from others might be needed for classifying agricultural areas or crops within agricultural fields. Identification of such specific features pertaining to satellite images exhibiting its agriculture coverage is a challenging problem. Therefore features related to satellite images are studied and different methods or techniques used for optimal feature selection have also been studied and analyzed.
机译:功能在分类任务中起着至关重要的作用。在这种情况下,特征选择和特征提取是用于对任何类型的数据进行分类的基本模块,即文本数据库,由简单图像或复杂图像(例如通过卫星收集的遥感图像)组成的图像数据库。特定功能的使用取决于具体领域和问题。例如,可能需要与其他特征非常不同的非常特殊的特征来对农业区域或农田中的农作物进行分类。识别与展现其农业覆盖面的卫星图像有关的此类特定特征是一个具有挑战性的问题。因此,研究了与卫星图像有关的特征,并且还研究和分析了用于最佳特征选择的不同方法或技术。

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