Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In high spatial resolution satellite images, shadows are usually cast by elevated objects such as buildings, bridges, and tors, 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.  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.
['Ma H', 'Qiming Qin', 'Xinyi Shen']
I am writing a research paper on a idea Shadow Segmentation and Compensation in High Resolution Satellite Images
[{"from": "human", "value": "I am writing a research paper on a idea Shadow Segmentation and Compensation in High Resolution Satellite Images"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In high spatial resolution satellite images, shadows are usually cast by elevated objects such as buildings, bridges, and tors, 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.  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."}]