Integrated Platform Design and Realization of Land Use Change Detection Based on Erdas with Ao and Eml

Remote sensing change detection technique has been an important method to observe the land use change. At present, there are lots of algorithms of land use change detection, but there isn’t an existing integrating frame and platform: the new-developed change detection platforms have limitation of supporting data sources and developing always consumes long time; while the change detection modules in the existing commercial software platforms are not appropriate for practical application. Thus, in this paper, based on the present mature commercial software ERDAS IMAGINE, the integrated platform is acquired, the flow of change detection is realized and the algorithms of land use change detection are integrated on this platform with ArcObjects(AO) of ArcGIS and ERDAS Macro Language (EML). The main modules of this platform include image preprocessing, single object change detection, multi object change detection, change polygon postprocessing and change statistics and output totally five sub-modules. The important interfaces and functions are introduced in detail in this paper. According to experiments and analysis, it is concluded that this platform has three advantages: Firstly, this platform has multi-source supporting and flexible import/Export capabilities. Secondly, this platform separates the artificial work and automatic work availably. Thirdly, this platform has friendly operation mode. Therefore, this integrated platform can be reference for realization and application of land use change detection Flows.