应用剖分遥感影像模板快速提取作物种植面积

Application of Subdivision Remote Sensing Image Template to Quickly Extract Crop Acreage

全球剖分理论为全球海量遥感影像数据的组织管理和多尺度遥感影像的作物提取和识别提供新的解决思路,结合基于地图分幅扩展的全球剖分模型及其剖分面片的几何特征,阐述剖分遥感影像模板的概念模型和数据模型,提出利用剖分遥感影像模板来提取作物种植面积的处理流程,并给出不同尺度范围提取作物面积适宜选取的剖分级别和影像分辨率。采用高分辨率遥感影像初步尝试对河南省许昌地区小麦种植面积进行提取,通用遥感影像处理软件相比,其精度和速度都有一定的提高。

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.