搜索结果: 1-13 共查到“知识库 测绘科学技术 PCA”相关记录13条 . 查询时间(0.044 秒)
CLASSIFICATION OF PHOTOGRAMMETRIC POINT CLOUDS OF SCAFFOLDS FOR CONSTRUCTION SITE MONITORING USING SUBSPACE CLUSTERING AND PCA
Scaffolding components Photogrammetric point clouds Subspace clustering PCA Classification
2016/7/28
This paper presents an approach for the classification of photogrammetric point clouds of scaffolding components in a construction site, aiming at making a preparation for the automatic monitoring of ...
FUSION OF REMOTE SENSING IMAGE BASE ON THE PCA+ATROUS WAVELET TRANSFORM
Image fusion High spatial resolution wavelet decomposition Assessment criteria PCA
2015/12/31
On the basis that the PCA transformation and additive wavelet transformation have their own advantages and disadvantages——higher spatial resolution can be acquired from the PCA transformation; however...
CORN FPAR ESTIMATING WITH NEAR AND SHORTWAVE INFRARED BANDS OF HYPERSPECTRAL DATA BASED ON PCA
NDVI RVI PCA Hyperspectral Infrared Shortwave FPAR Estimating
2015/12/30
FPAR (Fraction of Absorbed Photosynthetically Active Radiation) is a key parameter in the study on ecosystem function, crop growth monitoring, and so on, it is important to estimate FPAR accurately. B...
PROTECTED COASTAL AREA (PCA):WHY? HOW?
protected coastal area biodiversity eco-system marine pollution fishery resources protected ecology-fishery zone software application
2015/12/29
The Adriatic Sea, its islands and coast are one of the biggest ecological and economical riches of Croatian Republic (RoC). Unfortunately, because of general carelessness in past, bad regulations, con...
QUANTITATIVE ESTIMATION OF DESERTIFICATION DEGREE BASED ON PCA FUSION AND SVM USING CBERS-02B
support vector machine (SVM) data fusion CBERS-02B soil desertification information PCA
2015/12/23
Soil Desertification has severely threatened inner stability and sustainable development in arid areas, so extracting soil desertification information based on remote sensing and mastering its spatial...
Registration of Spatial data Based on PCA
Registration PCA Coordinate Transformation Spatial Data
2015/12/2
Registration of spatial data based on PCA is advanced in the paper. The principle is that principal components of spatial data set are changed with the coordinate system. For two spatial data sets of ...
Pca based on bottom classification applied in remote sensing bathymetry of shallow seawat
Multi-spectral Remote sensing Bathymetry model,
2015/8/20
The submarine terrain in shallow sea is one of the important factors of the ocean environment, and has important meanings for
coastal economics and military activities. For the mapping of the vast in...
Face recognition plays an important role in biometrics base personal identification. The need for reliable recognition and identification
of interacting users is obvious. The biometrics recognition ...
PCA used to discriminate phenological variations in Cerrado physiognomy, in Sao Paulo-Brazil
standard PCA NDVI Cerrado seasonal variation
2015/2/5
The Cerrado Biogeographic Province in Brazil, which occupies around 18% of the national territory, is the ecosystem in
more danger of disappearing as a result of agriculture frontiers. Their landscap...
MAPPING THE WETLAND VEGETATION COMMUNITIES OF THE AUSTRALIAN GREAT ARTESIAN BASIN SPRINGS USING SAM, MTMF AND SPECTRALLY SEGMENTED PCA HYPERSPECTRAL ANALYSES
Hyperspectral Environment Ecosystem Analysis Vegetation Monitoring Spectral
2014/4/29
The Australian Great Artesian Basin (GAB) supports a unique and diverse range of groundwater dependent wetland ecosystems termed GAB springs. In recent decades the ecological sustainability of the spr...
OBJECT-BASED IMAGE FUSION METHOD BASED ONWAVELET AND PCA FOR REMOTE SENSING IMAGERY
Object-based image fusion (OBIF) statistical region merging and minimum heterogeneity rule (SRMMHR) Mallat’s a trous
2014/6/12
In this paper, a new object-based wavelet fusion technique is presented for the fusion of multispectral (MS) and panchromatic (PAN) images to improve spatial information and preserve spectral informat...
基于PCA/NDVI的森林覆盖遥感信息提取方法研究
主成分分析 NDVI 波段组合
2009/11/23
以大兴安岭为试验区，提出将主成分分析（PCA）得到的第1分量、归一化植被指数（NDVI）和Landsat TM 1~TM 7某一波段进行合成，增强森林覆盖区和背景区信息的反差，并利用最大似然法对影像进行监督分类，分类精度超过92%。通过对不同云雾量和森林覆盖的2个时相影像试验表明，本方法提高了遥感影像森林覆盖信息提取的自动化程度和精度。
光合有效辐射分量(Fraction of Absorbed Photosynthetically Active Radiation，FPAR)是进行生态系统功能和全球变化
研究的重要参数，准确估算FPAR具有重要的意义。通过对野外实测玉米高光谱数据和光合有效辐射数据的分析，探讨了主成分分析
方法在高光谱信息提取及其估算玉米冠层FPAR参数的可行性，在此基础上，结合植被指数验证FPAR估算效果，...