| Technology and Methodology |
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A method of shadow detection for city tall ground objects based on QuickBird images |
| YAO Huaqin1, YANG Shuwen1, LIU Zhengjun2, YANG Xingwang1, LI Yikun1 |
1. Lanzhou Jiaotong University, Faculty of Geomatics, Lanzhou 730070, China;
2. China Surveying & Mapping Institute, Beijing 100830, China |
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Abstract The detection accuracy is likely to be influenced by water bodies and bluish surface features during the detection of shadows on high-resolution remote sensing images. To tackle this problem, this paper proposes a new shadow detection method using principal component transform and multi-band operation. Firstly, the spectral values of typical surface features such as shadows, water bodies and buildings are counted and analyzed in QuickBird images. Secondly, the non-shaded area and shaded area are identified based on principal component transform combined multi-band operation and automatically detected by multimodal histogram threshold algorithm. Finally, the detected result is processed by morphological filtering algorithm. The result shows that this method shows higher extraction accuracy, efficiency and universality for QuickBird images.
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| Keywords
domestic high-resolution remote sensing data
geological survey
high altitudes area
application potential
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Issue Date: 02 March 2015
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2015,
Vol. 27
