Remote sensing image data compression method capable of maintaining measurement performance

Abstract

The invention discloses a remote sensing image data compression method capable of maintaining measurement performance. A remote sensing image is processed by adopting wavelet transform, so the method is suitable for the compression of the remote sensing image. The remote sensing image is converted and coded by adopting integer wavelet transform, so transformation from an integer to another integer can be realized, the inverse transformation of the transformation from the integer to another integer can completely reconstruct the image, the uncontrollable loss of image information is avoided, and integer-wavelet-transform-based lossless image compression becomes possible. The compression efficiency is improved, and a compression ratio is increased by improved embedded zerotree wavelet (EZW)coding methods for the establishment of a zerotree marker table, the integer updating processing of a wavelet decomposition coefficient, the change of a scanning direction of the wavelet decomposition coefficient, the independent processing of the lowest frequency sub-band coefficient and the like. Characteristic points of important characteristics in the remote sensing image are extracted, and are identified in a wavelet transform process, and an integer wavelet decomposition coefficient in a high frequency sub-band is predicted and compensated by utilizing an integer wavelet decomposition coefficient recovery value in a low frequency sub-band to improve the performance of measuring the decompressed image.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image data compression and digital signal processing, and relates to wavelet transform for high-resolution remote sensing images and an EZW (embedded zero-tree wavelet coding) compression method for remote sensing images, in particular to remote sensing image data that maintains measurement performance compression method. Background technique [0002] With the continuous development of photoelectric technology, computer technology and remote sensing technology, more and more information obtained through remote sensing exists and processed in digital form, which brings more direct and richer data sources to digital photogrammetry. . However, while promoting the development of digital photogrammetry production technology, product quality and quantity, massive remote sensing information data (mainly remote sensing image data) puts forward higher requirements for storage and transmission condi...

AI Technical Summary

Problems solved by technology

[0007] 1. It is not easy to obtain remote sensing images. Existing aerospace remote sensing images require a lot of manpower, financial and material resources to establish a remote sensing data acquisition system, resulting in high cost of remote sensing images, and lossy compression of remote sensing images. Information loss is unacceptable;

[0008] 2. The precision required for remote sensing image processing and application is high. Remote sensing images are not only used for human observation, but also for computer search, identification and measurement. If the general lossy compression method is used, information due to The loss of remote sensing images affects the application effect of remote sensing images

Images