提出了一种基于分段主成分分析的高光谱图像波段选择算法。
A segmented PCA based band selection algorithm of hyperspectral image is proposed.
多光谱图像波段配准精度是多光谱影像数据的一项重要指标。
Band-to-band registration accuracy is an important parameter of multispectral image data.
卫星图像波段平均太阳辐照度是计算表观反射率的重要参数。
Mean solar spectral irradiance of satellite is an important parameter for the computation of appearance reflectance.
软件会侦测出每张图像在每个光谱波段下不同的变化。
Software scouted for variations in the image under each spectral band.
VIIRS将在可见光和红外波段收集地球上陆地、大气和海洋的辐射图像。
VIIRS will collect radiometric imagery in visible and infrared wavelengths of the Earth's land, atmosphere, and oceans.
广域红外探测器，在红外光波段扫描了整个天空，搜集了亿万目标的光辉，产生了数百万图像。
WISE, the Wide-field Infrared Survey Explorer mission, scans the entire sky in infrared light, picking up the glow of hundreds of millions of objects and producing millions of images.
物体在不同的波段所成的红外图像有不同的特征。
The infrared images of an object in different wave band have different characteristics.
水星二重成像系统(MDIS)：在近红外波段上拍摄金星的夜面，对接近以及离去半球的彩色及高解析度单色图像拼接。
Mercury Dual Imaging System (MDIS) : Images of the night side of Venus in near-infrared wavelengths; color and high-resolution monochrome mosaics of both the approaching and departing hemispheres.
高光谱图像间存在着大量的冗余信息，波段选择能够有效地去除冗余信息从而减少计算量。
There is great redundancy information in hyperspectral image and band selection can effectively remove it and reduce computational cost accordingly.
遥感影像特征分析是影像融合和解译的基础，而对遥感数据源各个波段进行定量分析是图像融合的前提。
Statistical characteristic analysis of remote sensing image is fundamental to image fusion and interpretation, and the quantitative analysis of each band is the premise of image fusion.
它是由图像所采取的三项美国宇航局的大天文台，利用三种不同波段的光。
It is made up of images taken by three of NASA's Great Observatories, using three different wavebands of light.
通过高几何分辨率图像与多光谱波段融合方法可以，增强变化信息，纹理特征参与变化信息提取可以提高变化类型的分类精度。
It is concluded that the fusion of high spatial imagery and multi-spectral bands can enhance change information, and the fusion of texture character can improve the classification results.
首先采用自适应波段选择方法对高光谱遥感图像进行谱间压缩。
At first, adopt the Adaptive Band Selection to compress spectrum dependence of hyperspectral remote sensing image.
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.
研究了城镇与乡村居民地在TM图像上的影像特征，并对多个波段影像进行了居民地特征提取对比分析。
The imagery structures of residences on the TM imagery are discussed and residences of TM multi-bands are extracted and contrasted.
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.
直线提取算法在X波段机载SAR图像上进行了试验，得到了满意的效果。
The line extraction algorithm is tested on the X-band airborne SAR images.
基于TM数据的模拟反射率图则囊括TM数据七个波段的信息，信息利用完整，图像质量得到了很大提高。
The simulated reflectance imagine based on TM data has all seven bands information of TM data, and the imagine quality has been I.
由于电磁场量的线性关联，多波段遥感数字图像可以表示为多维空间数据场量。
Because the linear connection between ground electromagnetic field and multi_band DNS, the digital image can be expressed as multi_dimensional spatial data field.
文章实现了一种基于相位一致特征的多光谱图像亚像元波段配准精度自动评价方法。
A high precision method based on the phase congruency features was presented in this paper for automated evaluating sub-pixel band-to-band registration accuracy of satellite multispectral imagery.
TM图像以其“综合性、多波段、多时相、信息更新快、成本低”等特点，已成为资源与环境监测中主要技术手段。
In this paper, taking TM image as information source and taking use of GIS, the urban land expansion of Nanchang city, Jiangxi province was analyzed.
为了满足不同波段图像传感器的使用要求，研制了一种通用的图像处理平台。
In order to satisfy the requirements of different wavelength image sensors, a universal image processing platform is developed.
提出一种结合波段相关性判定和SPIHT编码的方法对MODIS多光谱图像进行无损压缩。
A lossless compression method based on SPIHT and inter-band correlation prediction was presented for MODIS multispectral images.
介绍在可见光-长波红外双波段图像融合高速处理平台上实现多分辨图像融合算法的设计方案。
A design scheme is introduced which can implement multi resolution image fusion algorithm on the two channel (visual and infrared band) image fusion processing system.
另外，根据图像特征和经验对图像进行波段选择，也是改善高光谱遥感分类效果的有效途径。
In addition, the spectral selection based on the image's feature and experience is also an effective way to improve the classification of hyper-spectral remote sensing images.
以其他波段的几何信息辅助噪声污染波段重构，经过相应的小波重构滤波器滤波，获得该波段图像的重建以进行消噪。
Assisted by other bands high frequency geometric information, reconstruct noise band image with wavelet reconstruction filter to de-noise noise band image.
但是高光谱图像的每个像元都对应几十到几百个波段的灰度值，数据量极其庞大，因此必须对其进行压缩。
However, each pixel of hyperspectral image has tens or hundreds of magnitude values corresponding its wave bands, so the enormous data must be compressed.
对两幅图像低频波段的逼近系数取均值，对高频段选取绝对值大的小波包系数，得到融合系数矩阵。
Approximate coefficients in low frequency band of two images and the average over absolute wavelet packet coefficients of high frequency brand form a fused coefficients matrix.
基于图像光谱信息特征分析，确定了用于贵阳市土地利用变化遥感图像分类的最佳波段组合。
Based on analyzing characteristic of spectrum, the optimum combination of bands has been established for TM image classifying to research on land-use variation in Guiyang city.
提出了一种建立在红外多波段图像基础上的目标分割新方法。
A new infrared target segmentation method based on infrared multiband images is proposed.
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