Abstract
Background: In order to further analyze the problems of remote sensing image processing technology and the future development direction, this paper analyzes the concept of remote sensing and basic process, describes the status of domestic and international development of remote sensing image processing technology, as described in various patents.
Method: Several key elements of remote sensing image processing technology are studied, including five directions, remote sensing image matching, the integration of infrared and visible light remote sensing image, edge detection of SAR images, remote sensing image classification and remote sensing image change detection, and research and development status of these five directions were analyzed. The main characteristics of remote sensing image processing technology and reasons constraining the development of remote sensing image processing technology are analyzed. Result: Image fusion method based on PCA, are relatively vague and inaccurate. The image fusion method based on wavelet transform is used for image fusion, the fusion result is clear, and the image fusion method based on wavelet transform is more accurate than PCA. Conclusion: The comparison results of different methods are given by computer simulation experiment; it provides a reference for the development trends and application prospects of remote sensing image processing technology.Keywords: Remote sensing, image processing technology, edge detection, SAR images, PCA, wavelet transform.
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