Image Fusion Technology Based on Block Radon Scale Transform Information Enhancement

In the target image acquisition of fuzzy strong or attitude change greatly under the condition of accurate target recognition accuracy is not high, in order to improve the accuracy of target image recognition rate, we propose an image block Radon transform enhanced information fusion technology. The target recognition based on fuzzy objective image wavelet denoising image processing the noise output of the adaptive template matching, image segmentation method combined with the target image is divided into blocks, using geometric invariant feature Radon wavelet transform key feature points on the target information enhancement, realize the feature points extraction and optimization target. To accurately identify the optical remote sensing image collected as test samples for experimental analysis, simulation the results show that using the method of image fusion, improve the image quality, the image fusion of target recognition with good accuracy, And it can meet the application requirements of the rapid identification of the large number of samples.