Wavelet Transform-based Image Processing Of Remote Sensing

Wavelet transform is a remote sensing image processing technology in an important technology, how to use wavelet transform image processing of remote sensing image processing technology in a broad application prospects. In this paper, there is a certain image processing bottleneck, the extensive application of remote sensing, information fusion technology research background, more in-depth features on the remote sensing image analysis, texture homogeneity measure based on the fusion of remote sensing images have been studied, we study include:1,The remote sensing images of the system. A comprehensive summary of the characteristics of remote sensing images, remote sensing target features. As the remote sensing images is the most remarkable features of large data and image information-rich, and remote sensing technology is now able to provide the only means of dynamic observation data, therefore, remote sensing image processing method for the civilian and military fields is vital .2,Detailed description of the wavelet transform concepts, remote sensing images imaging, the significance of remote sensing image processing, image processing, the status of applications, wavelet transform in remote sensing image processing applications, and the current domestic and foreign remote-sensing image processing technology status. Image for the original image in the imaging process itself causes a variety of image quality issues are discussed before the need for remote sensing image processing carried out in the pre-processing steps (including geometric correction, denoising, etc.) processing steps. And remote sensing image based on wavelet edge detection, image fusion, and the effects of various fusion image analysis, draw conclusions.3,On the pixel-level image filtering, high pass filter fusion, wavelet transform methods are discussed in detail. Describes the wavelet function, continuous wavelet transform, discrete wavelet transform, dyadic wavelet transform, wavelet transform, multiresolution analysis, wavelet transform theory. About the selection of the wavelet decomposition of the results on the impact of remote sensing image processing for the wavelet function and wavelet decomposition provides the basis for selection, and through experiments and their characteristics and performance analysis a detailed comparison, the results show that: based on wavelet transform the image processing of remote sensing image texture and structure information can be well maintained, but also to the spectral characteristics of remote sensing images also maintained very complete information.