全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
-  2016 

联合云检测与高通滤波的含云影像融合方法
Fusion of Cloudy Opical Satellite Imagery by Cloud Detection and HPF Pass Filtering

DOI: 10.13203/j.whugis20140505

Keywords: 资源三号卫星,卫星影像,云检测,高通滤波,融合,
ZY-3 Satellite
,satellite image,cloud detection,high pass filter,fusion

Full-Text   Cite this paper   Add to My Lib

Abstract:

云噪声是光学卫星影像的常见问题,为了衡量云噪声对影像融合带来的影响,本文以高通滤波融合算法为例进行分析,指出云与地物的均值相差越大,云对影像融合的影响越大,并提出了 一种针对含云影像的融合方法,即联合云检测与高通滤波的含云影像融合方法。该方法首先利用NIR/R-OTSU云检测算法实时进行云检测,判别出影像中的云覆盖区域;其次采用局部优化策略利用高通滤波融合方法分块对非云区域进行处理,得到融合影像。利用资源三号多光谱和正视全色影像进行融合实验,结果表明,本文算法比高通滤波融合方法、亮度色度饱和度(intensity hue saturation,IHS)变换融合方法、Pansharp融合方法更适用于含云影像的融合处理

References

[1]  Wang Zhongwu,Liu Shunxi. A Practical Method for Improving Fusion Quality of High-Resolution Optical Image: Taking IKONOS as Examples[J]. <em>Geomatics and Information Science of Wuhan University</em>,2012,37(2):149-153(王忠武,刘顺喜. 一种提高高分辨率光学影像融合质量的实用方法:以 IKONOS 影像为例[J]. 武汉大学学报·信息科学版,2012,37(2):149-153)
[2]  Chavez P S, Kwarteng A Y. Extracting Spectral Contrast in Landsat Thematic Mapper Image Data Using Selective Principal Component Analysis[J]. <em>Photogrammetric Engineering and Remote Sensing</em>,1989,55(3):339-348
[3]  Hagolie O, Huc M, Pascual D V, et al. A Multi-temporal Method for Cloud Detection, Applied to FORMOSAT-2, VENμS, LANDSAT and SENTINEL-2 images[J]. <em>Remote Sensing of Environment</em>,2010,114(8):1 747-1 755
[4]  Ishida H,Nakajima T Y. Development of an Unbiased Cloud Detection Algorithm for a Spaceborne Multispectral Imager[J]. <em>Journal of Geophysical Research: Atmospheres</em>, 2009, 114(D7)
[5]  Jedlovec G J,Haines S L,Lafontaine F J. Spatial and Temporal Varying Thresholds for Cloud Detection in GOES Imagery[J].<em> IEEE Transactions on Geoscience and Remote Sensing,</em> 2008,46(6):1 705-1 717
[6]  Han Chunfeng. The Research of Cloud Detection and Land Cover Mode and the Temperature of Land Surface Based on HJ-1B[D]. Fuzhou: Fujian Normal University,2010(韩春峰. 基于HJ-1B星的云检测及土地覆盖模式与地表温度研究[D].福州:福建师范大学,2010)
[7]  Otsu N. A Threshold Selection Method from Gray-level Histograms[J]. <em>Automatica</em>,1975,11(285-296): 23-27
[8]  Amarsaikhan D, Saandar M, Ganzorig M, et al. Comparison of Multisource Image Fusion Methods and Land Cover Classification[J]. <em>International Journal of Remote Sensing</em>, 2012, 33(8):2 532-2 550
[9]  Tao Shuping, Jin Guang, Zhang Guixiang, et al. A Wavelet SCM Algorithm Used to Detect Cloud in Remote Sensing Cameras[J].<em>Acta Geodaetica et Cartographica Sinica</em>,2011,40(5):598-603(陶淑苹,金光,张贵祥,等. 实现遥感相机自主辨云的小波SCM算法[J]. 测绘学报,2011,40(5):598-603)
[10]  Wu Wei, Luo Jiangcheng, Shen Zhanfeng, et al. Classified Linear Regression Based Landsat Image Cloud Removal Method[J].<em>Geomatics and Information Science of Wuhan University</em>,2013,38(8):983-987(吴炜,骆剑承,沈占锋,等.分类线性回归的Landsat影像去云方法支[J]. 武汉大学学报·信息科学版,2013,38(8):983-987)
[11]  Zhou Wei,Guan Jian,Jiang Tao,et al. Automatic Detection and Repairing of Cloud and Shadow Regions in Multi-spectral Remote Sensing Images[J]. <em>Journal of Remote Sensing</em>,2012,16(1):132-142(周伟,关键,姜涛,等. 多光谱遥感影像中云影区域的检测与修复[J]. 遥感学报,2012,16(1):132-142)
[12]  Shettigara V K. A Generalized Component Substitution Technique for Spatial Enhancement of Multispectral Images Using a Higher Resolution Data Set[J]. <em>Photogrammetric Engineering and Remote Sensing</em>,1992,58(5): 561-567
[13]  Wang Z, Bovik A C. A Universal Image Quality Index[J]. <em>IEEE Signal Processing Letters</em>,2002,9(3):81-84
[14]  Dou Wen, Chen Yunhao, He Huiming. Theoretical Framework of Optical Remotely Sensed Image Fusion[J]. <em>Acta Geodaetica et Cartographica Sinica</em>,2009,38(2):131-137(窦闻,陈云浩,何辉明. 光学遥感影像像素级融合的理论框架[J]. 测绘学报,2009,38(2):131-137)
[15]  Thomas C, Ranchin T, Wald L, et al. Synthesis of Multispectral Images to High Spatial Resolution: A Critical Review of Fusion Methods Based on Remote Sensing Physics[J]. <em>IEEE Transactions on Geoscience and Remote Sensing</em>,2008,46(5):1 301-1 312
[16]  Wang Huixian, Jiang Wanshou, Lei Chengqiang,et al. A Robust SVR Image Fusion Method Based on Local Spectral and Spatial Correlation[J]. <em>Acta Geodaetica et Cartographica Sinica,2013</em>,42(4):508-515(王慧贤,江万寿,雷呈强,等. 光谱与空间局部相关的SVR影像融合方法[J]. 测绘学报,2013,42(4):508-515)
[17]  Gangkofner U G, Pradhan P S, Holcomb D W. Optimizing the High-Pass Filter Addition Technique for Image Fusion[J]. <em>Photogrammetric Engineering & Remote Sensing</em>,2008,74(9):1 107-1 118
[18]  Chavez P, Sides S C, Anderson J A. Comparison of Three Different Methods to Merge Multiresolution and Multispectral Data: Landsat TM and SPOT Panchromatic[J]. <em>Photogrammetric Engineering and Remote Sensing</em>,1991,57(3):295-303
[19]  Deng Lei, Chen Yunhao, Li Jing. Control Lable Remote Sensing Image Fusion Method Based on Wavelet Transform[J]. <em>Journal of Infrared and Millimeter Waves</em>,2005,24(1):34-38(邓磊,陈云浩,李京. 一种基于小波变换的可调节遥感影像融合方法[J]. 红外与毫米波学报,2005,24(1):34-38)
[20]  Lin Hui, Du Peijun, Zhang Lianpeng. Remote Sensing Image Fusion and Evaluation Based on Wavelet Transform[J]. <em>Journal of China Coal Society</em>,2005,30(3):332-336(林卉,杜培军,张莲蓬. 基于小波变换的遥感影像融合与评价[J]. 煤炭学报,2005,30(3):332-336)

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133