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首页> 外文会议>International symposium on multispectral image processing and pattern recognition >A Framework for Farmland Parcels Extraction Based on Image Classification
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A Framework for Farmland Parcels Extraction Based on Image Classification

机译：基于图像分类的农田地块提取框架

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摘要

It is very important for the government to build an accurate national basic cultivated land database. In this work, farmland parcels extraction is one of the basic steps. However, during the past years, people had to spend much time on determining an area is a farmland parcel or not, since they were bounded to understand remote sensing images only from the mere visual interpretation. In order to overcome this problem, in this study, a method was proposed to extract farmland parcels by means of image classification. In the proposed method, farmland areas and ridge areas of the classification map are semantically processed independently and the results are fused together to form the final results of farmland parcels. Experiments on high spatial remote sensing images have shown the effectiveness of the proposed method.
机译：政府建立准确的国家基本耕地数据库非常重要。在这项工作中，提取农田地块是基本步骤之一。但是，在过去的几年中，人们不得不花很多时间来确定一个地区是否属于农田，因为他们只能从单纯的视觉解释中了解遥感图像。为了克服这个问题，本研究提出了一种通过图像分类提取农田地块的方法。在提出的方法中，对分类图的农田区域和山脊区域进行语义上的独立处理，并将结果融合在一起以形成农田地块的最终结果。在高空间遥感影像上的实验表明了该方法的有效性。

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