Hyperspectral remote sensing data, compared with wide band remote sensing data, has the advantage of high spectral resolution.
植被高光谱遥感以其显著的特点已经成为连接遥感数据处理、地面测量、光谱模型和应用的强有力的工具。
The emergence of hyperspectral remote sensing predicts or distinguishes materials easily, while the materials could not be predicted or distinguished with wide-band remote sensing.
高光谱遥感的出现使得本来在宽波段遥感中不可预测或不容易区分的物质，在高光谱遥感中将能被探测或较好的区分。
Even though the window at L-band is the best choice for salinity remote sensing, the sensitivity of brightness temperature to SSS is lower than that of the other variables.
盐度的被动微波辐射遥感虽然在L波段灵敏度最高，但是其在L波段的灵敏度低于其它许多变量，因此对盐度反演模型精度要求很高。
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.
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。
Hypersperctral remote sensing has two distinct characters that the band number is more than multispectral remote sensing and the width of band is narrow.
波段数目多和波段宽度窄是高光谱分辨率遥感的两个显著特点，常规的用于分析的波段组合方法在信息的利用上是不充分的。
After remote sensing image data are enhanced, the author chooses to find avail wave band combination and the prospective areas of uranium orebody.
在对研究区的遥感数据进行增强处理后，选取有利波段组合，圈定了有利铀成矿的远景区。
At first, adopt the Adaptive Band Selection to compress spectrum dependence of hyperspectral remote sensing image.
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。
Simple band-pass type radiometers are seen to be complementary to conventional spectroradiometers for ground data collection in remote sensing.
简单的带通型辐射计被认为是相辅相成的遥感地面数据收集传统光谱仪。
In active infrared remote sensing measurements, the infrared absorption caused by the presence of trace gases in atmosphere is related to the transmittance spectra in different infrared wave band.
在主动式红外遥感测量中，大气中痕量气体的红外吸收与不同红外波段的透过率光谱有关。
In this paper, the correlation of the channels in 5mm absorption band for ground-based microwave remote sensing is discussed and various methods for inverting temperature are compared.
本文讨论了地对空微波遥感时5毫米吸收带各通道间的相关性，对各种地对空温度反演方法进行了比较。
Since the method is applicable for the remote sensing data with only one thermal band, it has been termed as mono window algorithm.
因该方法适用于仅有一个热波段的遥感数据，故称为单窗算法。
The paper describes a real-time lossless data compression algorithm for both individual band and multi-spectral remote sensing images.
讨论了对单波段遥感图像和多波段遥感图像都适用的一种实时无失真数据压缩的方法。
Finally, the three SVM classifier kernel functions are used to classify BSQ remote sensing image in TM6 band, the experimental data shows their feasibility and higher efficiency.
最后通过对TM 6波段bs Q格式遥感图像进行分类对比证明了SVM分类器核函数用于TM图像分类的可行性及高效性。
Being one of the important factors responsible for image quality, the band to band registration error of high resolution imagery affects considerably the application precision of remote sensing.
高分辨率遥感影像波段间配准误差是影响影像质量及其应用精度的重要因素之一。
Being one of the important factors responsible for image quality, the band to band registration error of high resolution imagery affects considerably the application precision of remote sensing.
高分辨率遥感影像波段间配准误差是影响影像质量及其应用精度的重要因素之一。
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