Application of Subdivision Remote Sensing Image Template to Quickly Extract Crop Acreage
The global subdivision theory provides a new solution idea for organization and management of global massive remote sensing, and so for crop planting area extraction in multi-scale remote sensing image. Introduces the Extended Model Based on Mapping Division and the geometry characteristics of subdivision cell, and elaborates the concept model and data model of subdivision remote sensing image template. Proposes the method and processing flow of crop planting area extraction using subdivision template, and gives the appropriate subdivision level and resolution that should be chosen in extracting crop planting area of different scales. The initial experiment of extracting crop planting area in Xuchang area by high-resolution remote sensing image shows: compared to common ERDAS and ENVI software,this method can improve the extraction accuracy and processing speed to some extent.