The Research of Multispectral Images Compression Algorithms Based on EBCOT and BMMV;

A numerical algorithm of Principle Component Analysis(PCA) is presented and its applications in remoting sensing image processing are introduced as following:Compression of multispectral images.

With the development of multispectral remote-sensing technology, real- time transmission on limited bandwidth and storing of multispectral image data has become a challenging problem, so compression of multispectral images is of more and more importance.

3D SPIHT algorithm of the multispectral image based on histogram modify;

A multispectral image classification method based on the SVM and PCA;

In order to merge multispectral image and high-resolution panchromatic image and to improve abilities of information analysis and feature extraction, we study discrete multiwavelet analysis on image data and give a fusion method in pixel level by means of discrete multiwavelet transform in this paper.

A registration method for multi-spectral image and panchromatic image based on wavelet transformation;

Acquisition of digitized multi-spectral image based on a 4-channel spata modulator;

A new method was presented based on HIS transform and wavelet transform for the fusion of a low-resolution multi-spectral image and a high-resolution panchromatic image.

By utilizing multi-spectral images,a system for acquiring multi-spectral images was built up with black and white camera and four filters.

A new method based on least squares and region segmentation is proposed to retrieve and compare the texture features of multi-spectral images in this paper.

The text adopts two methods named local standard deviation and de-correlation to estimate the signal-to-noise ratio of operational modular imaging spectrometer (OMIS) multi-spectral images.