3) multitemporal images
多时相影像
1.
Remote Sensing Images which were effected by sensors,solar elevation angle,atmosphere and topographty,impacted spectral signal acquired in the gRound so that the same objects had a large difference of spectral characters on the multitemporal images.
遥感影像获取时受传感器本身、太阳高度角、大气、地形等因素对地面光谱反射信号的影响,导致多时相影像上同一目标的光谱特征差异很大。
2.
The first step of the Relative Radiometric Normalization(RRN) of multitemporal images is to select the Pseudo-Invariant Features(PIFs).
多时相影像对应波段中地物波谱“准”不变特征点(Pseudo-Invariant Features,PIFs)的选取是相对辐射校正的前提,采用目视解译选取主观性较强,在一定程度上影响了校正精度。
4) multi-temporal images
多时相影像
1.
In this study,using two-phase remote sensing images of CBERS02B-CCD and Landsat-5 TM,the suitability and accuracy of typical methods to deal with multi-temporal images classification were compared,based on different phenological characteristics of sugarcane,corn and paddy.
基于甘蔗和玉米的物候特征差异,对多时相影像典型分类方法处理的适宜性和准确性进行了比较研究。
5) Satellite image
卫星影像
1.
Application of SPOT satellite image geometric correction in DEM establishment;
SPOT卫星影像几何校正在DEM生成中的应用
2.
Application of high-resolution satellite image to 3-D seismic prospecting measurement;
高分辨率卫星影像在三维地震勘探测量中的应用
3.
Comparative analysis on the mapping with aerial image and satellite image;
航测成图与卫星影像测图的比较分析
6) satellite imagery
卫星影像
1.
Distributed orthorectification of high resolution satellite imagery based on middleware
基于中间件的高分辨率卫星影像正射纠正的分布式处理
2.
The automation of the extraction of road from high-resolution satellite imagery is a very active topic in the photogrammetry and remote sensing community.
提出一种顾及精度、操作性的从高精度卫星影像中半自动提取道路的方法 。
3.
The capturing techniques of satellite imagery and geographical spatial information are introduced briefly.
文章简要介绍了卫星影像及地理空间信息获取技术,对比分析了光学影像及SAR等卫星影像的几何特性和辐射特征,提出了若干有益的见解,并对如何从各种卫星影像中获取地理空间信息的方法进行了总结。
补充资料：珠江三角洲卫星影像图
珠江三角洲卫星影像图
珠江三角洲卫星影像图 钱金凯设计编制
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