An Object-Oriented Shadow Detection Approach of Remote Sensing Image
2011 ◽
Vol 474-476
◽
pp. 1038-1043
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Keyword(s):
Shadows widely exist in high-resolution remote sensing images and affect image interpretation in certain degree. Improving the accuracy and efficiency of shadow region detection is always a significant problem in remote sensing image processing field. In this paper, an object-oriented shadow detection approach of remote sensing image is proposed on the basis of analyzing the characteristics of the shadow object. Experimental results indicate the efficiency and validity of our object-oriented approach for shadow detection compared with conventional pixel-level methods.
2013 ◽
Vol 333-335
◽
pp. 1475-1478
2016 ◽
Vol XLI-B7
◽
pp. 419-422
2018 ◽
Vol XLII-3
◽
pp. 2527-2530
2018 ◽
Vol 14
(09)
◽
pp. 208
2015 ◽
Vol XL-7/W3
◽
pp. 1241-1248
2016 ◽
Vol XLI-B7
◽
pp. 419-422
◽
2019 ◽
Vol XLII-2/W13
◽
pp. 1797-1801