首页> 外文会议>Conference on Remotely Sensed Data and Information; 20070525-27; Nanjing(CN) >Classifying rural land-use using multi-feature approach for national land-use survey
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Classifying rural land-use using multi-feature approach for national land-use survey

机译:使用多特征方法对农村土地利用进行分类以进行国家土地利用调查

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This study put forward a standardize classification model which can meet the requirement of rural land use survey and be suitable for large-scale promotion at the same time, but not merely the research limited in the experiment lab.. In this processing, the land cover classification may adopt the mutli-feature image classification method as followed. Firstly, a class scheme was defined. Then, some suitable features were selected, and every subclass was characterized with a unique combination of these features, in which landscape pattern parameter is one of essential features in consideration. Landscape pattern parameters can treat surface features and its distribution as integration and synthesis, which would help much to the classification. Using these features, image could be recognized and classified easily. Lastly, verify the precision and accuracy of the classification model. By using this classification method, classification accuracy can be improved, and the classification results were easier interpreted when compared with the conventional classification method.
机译:本研究提出了一个标准化的分类模型,可以满足农村土地利用调查的要求,并同时适合大规模推广,但不仅仅是实验实验室的研究有限。在这个处理中,陆地覆盖分类可以采用如下所示的哑铃特征图像分类方法。首先,定义了一个类方案。然后,选择一些合适的特征,并且每个子类的特征在于这些特征的独特组合,其中景观模式参数是考虑的基本特征之一。景观模式参数可以将表面特征及其分销视为集成和合成,这将有助于分类。使用这些功能,可以轻松地识别和分类图像。最后,验证分类模型的精度和准确性。通过使用该分类方法,可以提高分类精度,与传统分类方法相比,分类结果更容易解释。

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