遥感影像数据挖掘研究进展

An Overview about Study in Data Mining from Remote Sensing Images

遥感影像数据挖掘是一个有着广阔应用前景的研究领域。由于遥感影像数据库的海量特征,遥感影像数据挖掘已成为空间数据挖掘的主流。依据遥感影像数据挖掘的方法和目的,从图像索引和检索、图像分类、图像聚类、空间关联规则挖掘、影像变化检测以及高光谱数据挖掘六个方面对遥感影像数据挖掘的国内外研究现状进行了综述。并指出了遥感影像数据挖掘和知识发现中应该着力解决和注意的几个问题。

Data mining from remote sensing images which is characteristic of huge data amounts is a study domain with broad applications and becomes its mainstream. Focus on the latest development of data mining in the country and abroad, the paper summaris the advance into six aspects,namely:search, image classification, image clustering, spatial associate rule ,change detection and hyper-spectral remote sensing image respectively. Finally ,a few problems which should be solved and pay attention to in data mining from remote sensing image are discussed.