The hyper spectral remote sensing characterized with high-speed, cheap, accurateness.
高光谱遥感具有快速，经济，精确的特点。
Hyperspectral remote sensing images contain abundant spectral information for accurate change detection.
高光谱遥感影像包含了丰富的光谱特征，为精确的变化检测提供了依据。
However, there is no unified standard how to identify and classify anomaly hues of multi-spectral remote sensing data.
然而，如何识别和划分多光谱数据中的异常色调没有统一的标准。
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 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。
Atmospheric correction and spectral reconstruction of hyperspectral remote sensing applications is the key technology and necessary prerequisite.
高光谱遥感大气校正和光谱重建技术是高光谱遥感应用的关键技术和必要前提。
Based on idiotypic immune network theory, a Regional-memory-pattern Artificial idiotypic network (RAIN) is proposed to classify multi-spectral remote sensing image.
摘要基于独特型免疫网络原理，提出了一种新型的分区记忆模式人工独特型网络模型，并利用其对卫星遥感数据进行了分类。
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.
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。
Hyperspectral remote sensing is a new technology, and this technology brings people strongly method of accurately-identify surface feature by means of acutely ability of spectral feature detecting.
高光谱遥感是一种全新的遥感技术，这项技术以其敏锐的光谱特征探测能力为人们精确认识地物属性提供了强有力的手段。
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.
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。
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.
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。
This peper expounds the dynamic problem of biogeography in remote sensing of oceanic primary productivity based on the analysis of submarine light spectral response of algae photosynthesis.
本文在分析水下光场和藻类光合作用光谱响应基础上，阐述了海洋初级生产力遥感中的生物-地理动力学问题。
Mostly design to laser machine, laser communication, lidar, laser image remote sensing, laser jamming, acousto-optic spectral analysis region, product had been able to extensive use.
主要用于激光加工机、激光通讯、激光雷达、激光图像遥感、激光干扰、声光频谱分析等领域，产品已得到广泛应用。
Plant condition assessment using remote sensing techniques have been associated with spectral vegetation indices such as the normalized difference vegetation index (NDVI).
用遥感技术进行植物评估可与光谱植被指数联系起来，如规一化差分植被指数NDVI。
Imaging spectrometer is a kind of space remote sensing detector. It can get space and spectral distribution information of a target at the same time.
成像光谱仪是一种空间遥感探测器，它可以同时获取目标的空间和光谱分布信息。
The difference between remote sensing image spectral response is the main reason that causes distortions while merging multi-spectral and panchromatic images.
对于多光谱和全色波段遥感影像融合而言，影像间光谱响应范围的差异是造成融合结果光谱畸变的重要原因。
The spectral responsivity of IRFPA imaging detector is a basic physical parameter for the space infrared remote sensing.
红外焦平面成像器件的光谱响应率是天基红外遥感的基本物理指标。
Spectral characteristic is one of the basic characteristics of ground objects, and is the basis of qualitative and quantitative remote sensing.
波谱特性是地物目标的基本特性之一，是定性、定量遥感的基础。
This paper applies 2-d DCT to the remote sensing image fusion between panchromatic and multi-spectral images.
本文将二维离散余弦变换(DCT)应用于多光谱图像与全色光学图像融合问题的研究中。
Spectral characteristic is one of the basic characteristics of surface objects, and is the basis of qualitative and quantitative remote sensing.
波谱特性是地物目标的基本特性之一，是定性、定量遥感的基础。
The theory of quantitative remote sensing is based on the spectral data of object.
地物波谱数据是定量遥感的理论基础。
Based on the spectral feature neighborhood, this paper proposes a tolerant rough set classification method to handle the uncertainty in the process of satellite remote sensing data classification.
结合粗糙集理论和遥感数据中地物光谱特征空间分布信息，提出了一种基于光谱特征邻域的容差粗糙集分类方法，用来处理卫星遥感数据分类中的不确定性问题。
In a statistical sense, the alteration anomaly of remote sensing hyper (multi -) spectral data set is identifiable.
在统计意义上蚀变异常在遥感高(多)光谱数据集合中是可识别的。
The integrated information of 3d position and spectral data can be acquired simultaneously with the airborne 3d remote sensing technology.
利用机载三维遥感技术能够同步获取三维位置和光谱数据的一体化信息。
Three-dimensional mineral hyperspectral mapping proposed by "Spectral crust" plan has opened up a new avenue to explore the deep exploration by remote sensing technology.
光谱地壳“计划提出的矿物高光谱立体填图，为探索遥感技术的深部找矿开辟了新的途径；
This method can provide a reference of remote sensing information extraction of wetland for other regions with mixed spectral characteristics.
该方法可为其他光谱特征混杂地区湿地遥感信息的提取提供参考。
This method can provide a reference of remote sensing information extraction of wetland for other regions with mixed spectral characteristics.
该方法可为其他光谱特征混杂地区湿地遥感信息的提取提供参考。
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