摘要
从正射纠正、图像融合及波段选择与组合等关键技术入手,对2012年9月获取的SPOT6卫星图像进行处理,初步研究结果表明：在正射纠正中,在辅助信息相同且精度较高的前提下,利用有理函数模型（rational function model,RFM）和严格物理模型（rigorous physical model,RPM）纠正的图像均能达到1∶1.5万比例尺正射影像图的制图精度,但RPM方法的纠正精度明显优于RFM的,且对地面控制点数量需求上,RPM最少需要8个,而RFM仅需要3~4个;在图像融合中,Pan Sharp变换法融合的图像在信息量、光谱特征和边缘特征等方面具有综合优势;在波段选择及组合中,若以信息提取为目的,认为B4（R）B1（G）[（B2＋B3）/2]（B）波段组合最优,若以制图为目的,选择B3（R）B2（G）B1（B）波段组合效果更佳。
Taking the SPOT6 satellite data acquired in September 2012 as the information sources and based on three aspects of key techniques comprising ortho - rectification, image fusion and band combination, the authors carried out a preliminary study of the satellite image processing. The results show that, in the ortho - rectification processing under the premise of the same auxiliary information with high accuracy, the data corrected by rational function model （RFM） and rigorous physical model （ RPM ） can meet the mapping accuracy of the ortho image at 1：15 000 scale, whereas the precision of the RPM corrected image is better than that of the RFM. In addition, in the GCP number demand, the 1RPM needs at least 8 points, whereas the RFM needs only 3 -4 points. In image fusion, PanSharp transform fusion image has comprehensive advantages in information content, spectral feature and edge feature. In the band combination selection, it is considered that the band combination of tM（R）BI（G）[ （B2 ＋ B3 ） / 2 ] （B） is the best for the purpose of extracting information. As for the purpose of drawing, the selection of the band combination of B3 （R） B2（G） B1 （B） can obtain better effect.
出处
《国土资源遥感》
CSCD
北大核心
2015年第3期30-35,共6页
Remote Sensing for Land & Resources
基金
中国地质调查局地质调查工作项目"青海省重点矿集区矿产资源开发遥感调查与监测"(编号:1212011121286)资助
