| 基于ENVI／IDL与ArcGIS Engine的GCP选取与实现 |
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| 引用本文： | 周佳,孔伟波,李翔,孟祥辉. 基于ENVI／IDL与ArcGIS Engine的GCP选取与实现[J]. 测绘与空间地理信息, 2013, 0(12): 79-81,85 |
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| 作者姓名： | 周佳 孔伟波 李翔 孟祥辉 |
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| 作者单位： | [1]江苏省基础地理信息中心,江苏南京210013 [2]江苏省测绘产品质量监督检验站,江苏南京210013 |
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| 基金项目： | 江苏省测绘科研基金项目（JSCHKY201219）;江苏省测绘科研基金项目（JSCHKY201220）资助 |
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| 摘 要： | 针对遥感图像几何校正中GCP选取受人为因素影响较大、分布与数量难以确定等问题，在分析图像局部特征的基础上，结合Voronoi图，基于ENVI／IDL与ArcGISEngine一体化开发技术，研究了一种具有半自动选取和空间分析功能的GCP选取方法。实验通过一幅面积为3278．47km。的遥感图像进行几何校正，结果表明本文研究的GCP选取方法可以将工作效率提高近一倍，总RMS可降低约0．3个像素，在实际生产中具有一定的参考意义。
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| 关 键 词： | 遥感图像 几何校正 GCP选取 空间分析 |
GCP Selection and Implementation Based on ENVI/IDL and ArcGIS Engine |
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| Affiliation: | ZHOU Jia , KONG Wei - bo, LI Xiang , MENG Xiang - hui (1. Jiangsu Basic Geographic Information Center, Nanjing 210013, China; 2 Jiangsu Provincial Surveying and Mapping Product Quality Supervision and Inspection Station, Nanjing 210013, China) |
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| Abstract: | In this paper, according to the analysis of the local image features combined with Voronoi map, a method with Semi auto- matic selection of GCP and spatial analysis function was applied to geometric correction of remote sensing image based on ENVI/IDL and ArcGIS Engine. According to GCP affected by human factors to larger extent, distribution and quantity is difficult to determine. Through the geometric correction experiment of a remote sensing image with the area of 3 278.47 km2 , the result shows that the GCP selection method can improve the work efficiency nearly one time than before, and total RMS can be reduced by about 0.3 pixels, which has a certain reference significance in practical production. |
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| Keywords: | remote sensing image geometric correction GCP selection spatial analysis |
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