The challenge for Remote Sensing images for GIS and other applications is the size of the image. Currently, it is common to have images that are greater than 10,000 by 10,000 pixels, multiple bands, and greater than 8 bits per pixel per band. The compression techniques have become popular because of greater efficiency of storing and accessing large images. It is valuable to develop image processing techniques for various application of remote sensing images in the compressed domain. Among the compression techniques, discrete-wavelet-transform based techniques have become popular because of their excellent energy compaction and multi-resolution capability. As a result, the newly JPEG2000 image compression standard is established based on it. Greater bit depths, tiles, resolution progression, quality progression, and fast access to spatial locations all contribute to the capability and functionality of JPEG2000, which make it an ideal technology for the remote sensing and GIS applications. And the compressed domain image processing mechanism was offered in JPEG2000 frame. The Manipulation approach of JPEG2000 compressed large Remote Sensing images was discussed in this paper. The large Remote Sensing image display, geometry transform, and cropping were demonstrated. Experimental results show that the PEG2000 techniques provide good performance in compressed remote sensing image manipulation.