Making orthophotoimages of ALOS fusion satellite image based on PCI: A case study of Guohua rocky desertification monitoring area

doi:10.6046/gtzyyg.2015.03.03

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Abstract In order to meet high requirement of orthophotoimages in special Karst landform, the authors chose Guohua rocky desertification monitoring area as the study area. DEM was built by OrthoEngine module of PCI based on 1:10 000 digitization contour map, and orthorectification of ALOS panchromatic image was rectified by RPC function model. Then, pan and multispectral data were merged with high fidelitily by PANSHARP fusion algorithm. Fusion orthophotoimages with spatial resolution of 2.5 m were completed after modification. This means can provide a referencre for high precision images and abundant information data for scientific research in Karst areas. In addition, it also provides a new scientific information updating way for Karst rock desertification monitoring.

Keywords image restoration self-adaptive pseudo-median filtering non-negativity and support constraints recursive inverse filtering(NAS-RIF) improved self-adaptive NAS-RIF algorithm cost function

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	P237

Issue Date: 23 July 2015

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	ZHANG Fan

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ZHANG Fan. Making orthophotoimages of ALOS fusion satellite image based on PCI: A case study of Guohua rocky desertification monitoring area[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(3): 13-18.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2015.03.03 OR https://www.gtzyyg.com/EN/Y2015/V27/I3/13

[1] 马光永,张亚威,石军南.基于PCI的SPOT5遥感影像正射校正方法分析[J].中南林业调查规划,2011,30(4):47-52. Ma G Y,Zhang Y W,Shi J N.Analysis on ortho-rectification methods of SPOT5 satellite image based on PCI[J].Central South Forest Inventory and Planning,2011,30(4):47-52.
[2] 沈利娜.广西果化石漠化监测区岩溶生态环境系统安全评价[D].北京:中国地质科学院,2011:36-51. Shen L N.Karst Ecological Environmental System Security Assessment of Guangxi Guohua Rocky Desertification Area[D].Beijing:Chinese Academy of Geological Sciences,2011:36-51.
[3] 黄世存,章文毅,何国金,等.几种不同矩阵算法的遥感图像几何精纠正效果比较[J].国土资源遥感,2005,17(3):18-22.doi:10.6046/gtzyyg.2005.03.05. Huang S C,Zhang W Y,He G J,et al.A comparison of remote sensing image rectification effects based on several matrix algorithms[J].Remote Sensing for Land and Resources,2005,17(3):18-22.doi:10.6046/gtzyyg.2005.03.05.
[4] 党安荣,贾海峰,易善桢,等.ArcGIS8 Desktop地理信息系统应用指南[M].北京:清华大学出版社,2002:561-562. Dang A R,Jia H F,Yi S Z,et al.ArcGIS8 Desktop Geographic Information System Application Guide[M].Beijing:Tsinghua University Press,2002:561-562.
[5] 曹广强,陈新国,刘小强,等.卫星影像图制作技术浅谈[J].测绘标准化,2009,25(4):43-46. Cao G Q,Chen X G,Liu X Q,et al.Brief introduction to the methods of satellite image mapping[J].Standardization of Surveying and Mapping,2009,25(4):43-46.
[6] 关元秀,程晓阳.高分辨率卫星影像处理指南[M].北京:科学出版社,2008:99-126. Guan Y X,Cheng X Y.High-Resolution Satellite Image Processing Guide[M].Beijing:Science Press,2008:99-126.
[7] 刘江,岳庆兴,邱振戈.RPC校正方法研究[J].国土资源遥感,2013,25(1):61-65.doi:10.6046/gtzyyg.2013.01.11. Liu J,Yue Q X,Qiu Z G.Research on the approach to RPC emendation[J].Remote Sensing for Land and Resources,2013,25(1):61-65.doi:10.6046/gtzyyg.2013.01.11.
[8] 刘善磊,石善球,张丽静,等.遥感图像几何纠正中GCP选取[J].国土资源遥感,2014,26(3):86-91.doi:10.6046/gtzyyg.2014.03.14. Liu S L,Shi S Q,Zhang L J,et al.Selection of GCP in geometric correction of remote sensing images[J].Remote Sensing for Land and Resources,2014,26(3):86-91.doi:10.6046/gtzyyg.2014.03.14.
[9] 林卉,张连蓬.高分辨率遥感影像融合及其质量评价[J].工程勘察,2009,37(1):64-68. Lin H,Zhang L P.High-resolution remote sensing image fusion and quality evaluation[J].Geotechnical Investigation and Surveying,2009,37(1):64-68.
[10] 陈春雷,武刚.遥感影像中像素级融合方法的评价研究[J].浙江林业科技,2009,29(4):59-64. Chen C L,Wu G.Evaluation of pixel-level fusion method for remote sensing images[J].Journal of Zhejiang Forestry Science and Technology,2009,29(4):59-64.
[11] 李海洋,王丽英.基于PCI的遥感正射影像图制作[J].矿山测量,2009(4):44-46. Li H Y,Wang L Y.Making ortho photo images of satellite image based on PCI[J].Mine Surveying,2009(4):44-46.
[12] 申邵洪,赖祖龙,万幼川.基于融合的高分辨率遥感影像变化检测[J].测绘通报,2009(3):16-19,23. Shen S H,Lai Z L,Wan Y C.Change detection of high-resolution RS imagery based on fusion[J].Bulletin of Surveying and Mapping,2009(3):16-19,23.

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