单一时相遥感数据土地利用与覆盖变化自动检测方法

Automatic Land Use and Land Cover Change Detection with One Temporary Remote Sensing Image

针对基期(用于该研究的前一时期数据)T1仅拥有土地利用和覆盖图件(矢量格式)而另一期T2拥有遥感数据的情况,构建了基于知识引导的土地利用和覆盖变化自动检测技术与方法。T1时期土地利用与覆盖与T2期遥感数据在配准叠加情况下,以T1完整的土地利用与覆盖类型图斑为单元构建土地各类别遥感数据知识库,然后以图斑单元或以像素为单位计算遥感影像特征统计量,通过与知识库相关数据的比较与匹配自动检测出变化并识别出相应的土地利用与覆盖类别。文章最后通过试验验证了该方法的有效性。

Automatic land use and land cover change(LUCC)detection via remote sensing image has a wide application in the area of LUCC research,nature resource and environment monitoring and protection.Under the condition that one time(T 1 )data is existed land use and land cover map,and another time(T 2 )data is remotely sensed imagery,howto detect change automatically is still an unresolved issue. This paper developed a land use and land cover class knowledge-oriented method for automatic change detection under this situation.Firstly,the land use and land cover map in T 1 and remote sensing images in T 2 were registered and superimposed precisely.Secondly,the remote sensing knowledge database of all land use and land cover classes was constructed based on the unchanged parcels in T 1 map.Thirdly,guided by T 1 land use and land cover map,feature statistics for each parcel or pixel in remote sensing images were extracted.Finally,land use and land cover changes were found and the change class was recognized through the automatic matching between the knowledge database of remote sensing information of land use and land cover classes with the extracted statistical information in that parcel or pixel.Experimental results and some practicat applications showthe efˉficiency of this method.