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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Haijian Ma Qiming Qin Xinyi Shen |
| Copyright Year | 2008 |
| Description | Author affiliation: Inst. of Remote Sensing & GIS, Peking Univ., Beijing (Haijian Ma; Qiming Qin; Xinyi Shen) |
| Abstract | In high spatial resolution satellite images, shadows are usually cast by elevated objects such as buildings, bridges, and towers, especially in urban region. Shadows may cause loss of feature information, false color tone and shape distortion of objects, which seriously affect the quality of images. Hence, it is important to segment shadow regions and restore their information for image interpretation. This paper presents an effective and robust approach for shadow segmentation and compensation in color satellite images with high spatial resolution. The approach uses normalized saturation-value difference index (NSVDI) in hue-saturation-value (HSV) color space to detect shadows and exploits histogram matching to recover the information under shadows. Experimental results by applying the proposed approach in the IKONOS color images of urban area demonstrate the effectiveness and feasibility of the proposed approach. |
| File Size | 277413 |
| File Format | |
| ISBN | 9781424428076 |
| DOI | 10.1109/IGARSS.2008.4779175 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-07-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Image resolution Satellites Spatial resolution Bridges Poles and towers Shape Image restoration Robustness Histograms HSV color space High resolution satellite Images Shadow segmentation Shadow compensation |
| Content Type | Text |
| Resource Type | Article |
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