1) hyperspectral remote sensing
高光谱遥感
1.
Status and prospect of hyperspectral remote sensing technique in rock and mineral identification;
高光谱遥感技术在岩矿识别中的应用现状与前景
2.
The multi-directional projection pursuit and the feature extraction of hyperspectral remote sensing image;
多方向投影寻踪与高光谱遥感图像特征提取
3.
Study on hyperspectral remote sensing retriveral models about winter wheat stripe rust severity;
冬小麦条锈病严重度高光谱遥感反演模型研究
2) hyper-spectral remote sensing
高光谱遥感
1.
Monitoring leaf nitrogen accumulation with hyper-spectral remote sensing in wheat;
基于高光谱遥感的小麦叶片氮积累量
2.
Image fusion algorithm of the hyper-spectral remote sensing appling to the survey of land utilization based on a curvature-wave transformation
曲波变换的高光谱遥感图像融合方法在土地利用调查中的应用
3.
By way of hyper-spectral remote sensing,we have gained the reflex spectrums of water body containing suspended particles and calculated the reflectivity theoretically.
采用高光谱遥感技术获得悬沙水体的反射光谱数据,同时从原理上来计算反射率。
3) hyper spectral remote sensing
高光谱遥感
1.
Feasibility of monitoring and estimating peach yield with hyper spectral remote sensing
基于高光谱遥感预测鲜桃产量的现实意义及可行性分析
2.
The application of hyper spectral remote sensing technology in diagnosing of crop nutrition information is summarized in this paper.
概述了高光谱遥感分析技术在农作物营养诊断方面的应用状况,着重介绍了诊断农作物的主要生化参数,如氮素、叶绿素、叶面积指数(LAI)和水分等多项指标的研究进展,并对高光谱遥感技术在作物营养诊断与检测方面的研究进行了展望。
3.
Based on the analysis of the characters of hyper spectral remote sensing,form the basic research and the resources and environment monitoring of the marine and the coastal zone,the application of hyper spectral remote sensing in estimating chlorophyll,oil-spill,sea ice and typical elements in the coastal zone is presented in the paper.
在分析高光谱遥感特点的基础上,从其在海洋应用的基础研究和在海洋与海岸带资源环境监测研究2个方面,论述了高光谱遥感在海水叶绿素浓度、悬浮泥沙含量、污染物和表层水温、海冰、海岸带探测的应用和研究进展,最后本文提出了高光谱遥感在海洋研究中着重发展的几个问题:(1)建设海洋及海岸带要素的地物光谱数据库;(2)开展海洋遥感信息系统建设;(3)开展基于高光谱遥感数据的海洋系统光学特性提取模型的研究;(4)开展基于高光谱遥感数据的海陆系统交互作用的环境效应研究。
4) hyperspectral remote sensing
高光谱遥感技术
1.
Finally, the paper discussed the way and studied fields of the further application of 3S technique in the quantitative analysis model of drainage basin nonpoint source pollution, and focus on especially the effects of some important factors such as geostatistics, hyperspectral remote sensing and intelligent 3S technique .
论述了流域非点源污染定量模型的类型,3S技术在流域非点源污染定量模型研究的应用及其局限性,明确了今后基于3S技术的流域非点源污染定量模型的发展方向和研究领域,特别关注了近年来地统计技术、高光谱遥感技术、智能3S技术等对流域非点源污染定量模型研究带来的应用前景。
5) hyperspectral remote sensing classification
高光谱遥感分类
1.
Support Vector Machines(SVM) is a potential hyperspectral remote sensing classification method because it is advantageous to deal with problems with high dimensions,small samples and uncertainty.
支持向量机因其适用高维特征、小样本与不确定性问题的优越性,是一种极具潜力的高光谱遥感分类方法。
6) hyperspectral image
高光谱遥感图像
1.
To avoid different results with the uncertainty of thresholds in classification of hyperspectral image,this paper presents a new approach to object identification based on the exhaustive method(EXM).
为了避免地物识别与分类中,由于不同阀值所引起的不同结果的情况,提出了一种基于穷举法的高光谱遥感图像地物识别方法。
2.
Each pixel spectrum in the hyperspectral imagery has an optimal matching spectrum selected from all possible reference spectra that are correlated with the study area.
介绍了一种基于穷举法的高光谱遥感图像地物识别方法。
3.
For the problem of target detection and classification with remote sensing hyperspectral image,though analysis the traditionary binary coding method,a new binary coding method and the relevant spectral matching algorithm is given in this paper.
针对高光谱遥感图像中地物识别与分类问题,在对传统二进编码方法的优缺点进行分析的基础上,给出了一种新的二进编码策略,并给出了相应的快速匹配算法。
补充资料：高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取 郑兰芬供稿
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条