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REMOTE SENSING FOR LAND & RESOURCES    2014, Vol. 26 Issue (4) : 23-28     DOI: 10.6046/gtzyyg.2014.04.04
Technology and Methodology |
A shadow processing algorithm based on extracted multi-scale geometric details
WANG Bo, ZHANG Yongjun, CHEN Qi
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
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Abstract  

From the shadow processing of high-resolution aerial remote sensing images, this paper analyzed the features of shadow in color space. Using combined thresholds of 3 channels in HIS color space and Gaussian function, the authors detected shadow area and its multi-scale geometric details which can compensate shadow area. The experiments prove that this method can maximize the retention of the original features in shadow area and get more reasonable compensation results, thus ensuring accuracy and reliability of the follow-up imaging.

Keywords partial least squares regression (PLSR)      soil salinity      hyperspectral inversion     
:  TP75  
Issue Date: 17 September 2014
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LI Xiaoming
WANG Shuguang
HAN Jichang
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LI Xiaoming,WANG Shuguang,HAN Jichang. A shadow processing algorithm based on extracted multi-scale geometric details[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(4): 23-28.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2014.04.04     OR     https://www.gtzyyg.com/EN/Y2014/V26/I4/23

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