搜索结果: 1-6 共查到“大地测量学 Hyperspectral data”相关记录6条 . 查询时间(0.133 秒)
GEOLOGICAL MAPPING BY COMBINING SPECTRAL UNMIXING AND CLUSTER ANALYSIS FOR HYPERSPECTRAL DATA
Geology Mineral Unmixing Cluster Analysis Hyperspectral Cuprite
2016/11/30
Spectral unmixing of hyperspectral data often fails to select some minerals and rocks having flat spectra but no diagnostic absorption features as endmembers, even if they are actually important endme...
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...
AN EXPLORATORY ANALYSIS OF IN SITU HYPERSPECTRAL DATA FOR BROADLEAF SPECIES RECOGNITION
Species Recognition Hyperspectral Data Broadleaf Species Artificial Neural Network Linear discriminant Analysis Spectral Features
2015/12/30
Timely and accurate identification of tree species by spectral methods is crucial for forest and urban ecological management. It has been proved that traditional methods and data cannot meet such requ...
EXTRACTION OF OPTIMAL SPECTRAL BANDS USING HIERARCHICAL BAND MERGING OUT OF HYPERSPECTRAL DATA
Classification Feature selection Sensor design Hyperspectral Spectral bands Multispectral
2015/9/21
Spectral optimization consists in identifying the most relevant band subset for a specific application. It is a way to reduce hyperspectral data huge dimensionality and can be applied to design specif...
Wavelet-based analysis of hyperspectral data for detecting spectral features
Hyperspectral Data Spectral Feature Extraction Wavelet Transform Modulus Maxima Remote Sensing
2015/2/5
The purpose of feature extraction is to abstract substantial information from the original data input and filtering out
redundant information. In this paper we transfer the hyperspectral data from t...
Target detection algorithm for airborne thermal hyperspectral data
Thermal Hyperspectral LWIR (Long Wave Infrared) Constrained Energy Minimization (CEM) Minimum Noise Fraction (MNF)
2014/12/15
Airborne hyperspectral imaging is constantly being used for classification purpose. But airborne thermal hyperspectral image usually is a challenge for conventional classification approaches. The Telo...