搜索结果: 1-5 共查到“工学 multi-spectral images”相关记录5条 . 查询时间(0.312 秒)
Automated Updating of Building Data Bases from Digital Surface Models and Multi-Spectral Images: Potential and Limitations
Change Detection Digital Surface Models Data Fusion
2015/12/4
A method for automatic updating of building data bases from Digital Surface Models (DSM) and a normalised difference vegetation index is evaluated. The DSM can be generated from Airborne Laserscanner ...
Classification of multi spectral images by fuzzy and neural network approaches
fuzzy classification minimum distance maximum likelihood
2015/8/20
Extraction of information from satellite images, due to better cost & time consumption, all times accessibility and vast area of
coverage, is seen as one solution for countries have no overall maps [...
Automating Interpretation of Geological Structures from Landsat Tm Multi-spectral Images and Dems
nterpretation Extraction Classification
2015/7/9
In this study using the Idrisi software system, a methodology for jointly analyzing and interpreting multi-spectral images and DEMs
for extracting structural-geology features is given. In analyzing a...
MODELLING QUALITATIVE AND QUANTITATIVE UNCERTAINTIES OF OBJECTS EXTRACTED FROM HIGHRESOLUTION MULTI-SPECTRAL IMAGES AND LASER SCANNING DATA
Quality Uncertainty Object Extraction
2015/6/1
An object-based approach is applied in land-cover feature extraction from high-resolution multi-spectral images and laser scanning
data in this research. Objects extracted from high-resolution spect...
基于多光谱图像及组合特征分析的茶叶等级区分（Classification of Tea Grades by Multi-spectral Images and Combined Features）
茶叶等级 多光谱成像 形状特征 纹理特征 组合特征
2009/11/3
提出了一种采用多光谱成像的机器视觉技术对4个等级的西湖龙井茶进行区分的方法。首先采用3CCD多光谱摄像机同时获取茶叶在540、670和800nm波谱处的波长图像，然后对预处理后的图像进行图像特征提取，选取了18个形状特征和15个纹理特征。基于这2组特征分别对4个等级的茶叶进行主成分聚类分析，得到的两幅主成分空间的聚类图都不能对4个等级茶叶进行有效的区分。为了得到高效的区分模型，本研究对形状特征和纹...