为了提高遥感图像分类精度，提出了一种基于概率扩散模型的多光谱遥感图像自动分类技术。
In this paper, we propose an automatic multispectral remote sensing image classification technique based on improved probabilistic diffusion.
首先探讨了基于提升方案的整数小波变换，结合线性预测技术，提出了一种机载多光谱遥感图像的无损压缩方法。
A new method combining integer wavelet transform and linear prediction technique for lossless compression of airborne multispectral imagery is proposed in this paper.
在数字图像小波多分辨率分析理论基础上，采用小波变换方法对高分辨遥感图像的目标地物边缘进行信息增强，然后与多光谱遥感图像进行特征信息融合。
After the wavelet's multi-resolution analysis, a feature fusion approach was adopted to enhance remote sensing image edge and improve the definition and resolving power of the image.
光学遥感依赖于利用多光谱和超光谱图像具有较高的光谱分辨率和空间分辨率来对所观测场景进行辨别。
Optical remote sensing relies on the use of panchromatic, multispectral and hyperspectral images with a high spectral resolution and spatial resolution to distinguish the observed scene.
多光谱遥感数据的最佳波段选取与组合是遥感图像增强处理的关键部分，直接影响到图像的目视解译和研究对象的信息提取。
Optimal band selection and combination of multi-spectrum data is the key for image enhancement, it directly influences eye estimation and object information distilled.
探讨了遥感多光谱与全色波段图像的融合问题。
The multi-spectral and panchromatic image fusion is discussed.
本文首先论述了遥感图像多光谱假彩色合成中组合波段的选择方法以及彩色合成的几种方法。
Several methods of the choice in assembled spectral and color composite in false color composite of multi-spectral RS images are discussed.
通常图像获取的方法有飞点扫描器、电视摄像机(摄像头)、扫描仪和遥感设备如红外扫描仪、多光谱扫描仪等。
Image acquisition methods are usually flying spot scanners, television cameras (cameras), scanners and remote sensing equipment such as infrared scanners, multispectral scanners.
从图像压缩的角度分析了大孔径静态干涉成像光谱仪成像原理，并提出了一种新的遥感多光谱图像压缩方案。
A new compression scheme of interferential multispectral images is proposed based on the analyses of large aperture static imaging spectrometry.
用该方法对多幅干涉多光谱图像进行了测试，测试结果表明：该方法性能优于其他多光谱卫星遥感图像编码方法，并有利于在实时图像编码系统中得到应用。
A few spectral satellite images are tested and the experimental results show that this method has more advantages over other methods reported so far for spectral satellite image compression.
针对高分辨率多光谱遥感影像的特点，介绍了常用的一些图像处理技术，提出了改进的小波融合算法。
For high-resolution multi-spectral remote sensing image characteristics, the paper introduces a number of commonly used image processing techniques and proposes the improved wavelet fusion algorithm.
基于全色数据与多光谱数据之间的线性关系进行遥感图像融合是一种可行并被广泛应用的思路。
Image fusion based on the linear relationship between panchromatic and multispectral data is feasible and widely used for the fusion of remotely sensed images.
基于全色数据与多光谱数据之间的线性关系进行遥感图像融合是一种可行并被广泛应用的思路。
Image fusion based on the linear relationship between panchromatic and multispectral data is feasible and widely used for the fusion of remotely sensed images.
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