Remote Sensing image fusion using dynamic range compression and wavelet transform

• Main Authors: Lie Tong Ma, 馬烈彤
• Other Authors: Shuenn-Shyang Wang
• Format: Others
• Language: en_US
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/60756361423198902898

碩士 === 大同大學 === 通訊工程研究所 === 97 === The image fusion technique is to maximize the information in images at same area or object taken by different sensors. It enhances those unapparent features at each image and wildly applied at remote sensing, medical image, machine vision, and military identification. In remote sensing, the latest sensors usually provide 11-bit panchromatic data which represent more radiometric information, but the standard visual equipment can only produce 8-bit resolution content that limits the analysis of imagery on the screen or paper. This thesis shows how to preserve the original 11-bit information after the DRC (Dynamic Range Compression) approaches and keep the fusion output from color distortion during the following pan/multi-spectrum fusion process. We analyze each image fusion technology using panchromatic image to intensify radiometric information and enhance visual content. Meanwhile the wavelet technique is used in the fusion process of panchromatic and multi-spectrum images. To verify the feasibility of the method proposed, we use the proposed method to enhance the radiometric visualization of IKONOS and QUICKBIRD satellite images. The statistic results show the proposed method outperforms existing methods.