IMHE OpenIR  > 成都山地所知识仓储(2009年以前)
Alternative TitleClassification Application of QuickBird Imagery to Obtain Crop Planting Area
徐新刚; 李强子; 周万村; 吴炳方
Corresponding Author徐新刚
Source Publication遥感技术与应用
Other AbstractWith complicated natural conditions, multiplicity of crop structure, small and dispersive distribution of parcel, the accuracy of images with moderate and lower resolution can't meet the acquisition of crop yield forecasting. With improvement of new sensors of high resolution, remote sensing imagery of high resolution can provide more abundant information such as texture, hue and so on. However, the current object-oriented classification approaches are not mature, which have too much thresholds to be set and more complicated and difficult to be used commonly. Therefore, combining QuickBird high spatial resolution satellite imagery with the field investigation data as mainly auxiliary information as well as using the pixel-oriented maximum likelihood method, crop planting area was obtained step by step, applying the principle of multi-scale information extraction, a test was set in Mianyang, Sichuan province. The result shows that the accuracy of crop classification is fairly exciting.
Keyword作物分类 Quickbird遥感影像 地面调查 最大似然法 多尺度
Funding Organization国家863项目:粮食预警遥感辅助决策系统(2003AA131050);中国科学院知识创新工程重要方向项目:遥感估产运行系统中遥感监测过程检验与精度评估(KZCX3-SW-338-2).
Document Type期刊论文
Corresponding Author徐新刚
Recommended Citation
GB/T 7714
徐新刚,李强子,周万村,等. 应用高分辨率遥感影像提取作物种植面积[J]. 遥感技术与应用,2008,23(1):17-23,I0005.
APA 徐新刚,李强子,周万村,&吴炳方.(2008).应用高分辨率遥感影像提取作物种植面积.遥感技术与应用,23(1),17-23,I0005.
MLA 徐新刚,et al."应用高分辨率遥感影像提取作物种植面积".遥感技术与应用 23.1(2008):17-23,I0005.
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