搜索结果: 1-15 共查到“物理大地测量学 hyperspectral”相关记录22条 . 查询时间(0.056 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...
ESTIMATION OF REGIONAL FOREST ABOVEGROUND BIOMASS COMBINING ICESAT-GLAS WAVEFORMS AND HJ-1A/HSI HYPERSPECTRAL IMAGERIES
LiDAR ICESat-GLAS Waveform HJ-1A/HSI Hyperspectral imagery Forest aboveground biomass Support vector machines
2016/11/24
Estimation of forest aboveground biomass (AGB) is a critical challenge for understanding the global carbon cycle because it dominates the dynamics of the terrestrial carbon cycle. Light Detection and ...
MULTIPLE REFLECTION EFFECTS IN NONLINEAR MIXTURE MODEL FOR HYPERSPECTRAL IMAGE ANALYSIS
Hyperspectral images Linear mixture model (LMM) Generalized bilinear model (GBM) Modified generalized bilinear model (MGBM)
2016/11/23
Hyperspectral spectrometers can record electromagnetic energy with hundreds or thousands of spectral channels. With such high spectral resolution, the spectral information has better capability for ma...
COMPACT HYPERSPECTRAL IMAGING SYSTEM (COSI) FOR SMALL REMOTELY PILOTED AIRCRAFT SYSTEMS (RPAS)–SYSTEM OVERVIEW AND FIRST PERFORMANCE EVALUATION RESULTS
Hyperspectral camera RPAS linear variable filters
2016/7/5
This paper gives an overview of the new COmpact hyperSpectral Imaging (COSI) system recently developed at the Flemish Institute for Technological Research (VITO, Belgium) and suitable for remotely pil...
EVALUATING THE POTENTIAL OF SATELLITE HYPERSPECTRAL RESURS-P DATA FOR FOREST SPECIES CLASSIFICATION
satellite airborne hyperspectral forest species
2016/7/4
Satellite-based hyperspectral sensors provide spectroscopic information in relatively narrow contiguous spectral bands over a large area which can be useful in forestry applications. This study evalua...
HYPERSPECTRAL IMAGE FEATURE EXTRACTION BASED ON GENERALIZED DISCRIMINANT ANALYSIS
Hyperspectral Image Feature Extraction Generalized Discriminant Analysis Kernel Function
2015/12/30
The hyperspectral image enriches spectrum information, so compared with panchromatic image and multispectral image; it can classify the ground target better. The feature extraction of hyperspectral im...
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...
EFFICIENT DETECTION OF ANOMALIES IN HYPERSPECTRAL IMAGES
Hyperspectral Target detection Anomaly detection RX algorithm ROC
2015/12/30
By reason of recent advances in airborne and ground-base hyperspectral imaging technology, many applications have been developed. One of the most important hyperspectral images applications involves a...
DETECTING SUB-SURFACE SOIL DISTURBANCE USING HYPERSPECTRAL FIRST DERIVATIVE BAND RATIOS OF ASSOCIATED VEGETATION STRESS
Hyperspectral Vegetation Soil Radiometry Spectral Environment Analysis Detection
2015/12/30
Previous studies conducted under controlled laboratory and controlled field conditions have demonstrated the ability of hyperspectral techniques to detect vegetation stress associated with elevated le...
IMPROVING THE PERFORMANCE OF HYPERSPECTRAL PUSHBROOM IMAGING SPECTROMETERS FOR SPECIFIC SCIENCE APPLICATIONS
Hyperspectral Spectral Binning CCD Pushbroom
2015/12/30
Hyperspectral imaging spectrometers offer the unique chance of recording image data of a broad range of targets in the reflected solar energy spectrum. These instruments are designed upon certain requ...
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...
GEOLOGICAL OUTCROP MODELLING AND INTERPRETATION USING GROUND BASED HYPERSPECTRAL AND LASER SCANNING DATA FUSION
Laser Integration Lidar Close Range Hyper spectral Mapping Geology
2015/12/29
Recent developments in the utilisation of close range laser scanning (lidar) in geology have seen the increased use of virtual outcrop data. The remote mapping of rock properties within the virtual ou...
HYPERSPECTRAL IMAGES FOR UNCERTAINTY INFORMATION INTERPRETATION BASED ON FUZZY CLUSTERING AND NEURAL NETWORK
Uncertainty Information Fuzzy Clustering Feature Recognition Hyperspectral Understanding Neural Network
2015/12/23
Effective and understanding exploration of hyperspectral remote sensing data necessitates the development of sophisticated schemes that represent images. Such schemes ideally preserve and recognize si...
SEMI-BLIND SOURCE SEPARATION FOR ESTIMATION OF CLAY CONTENT OVER SEMI-VEGETATED AREAS,FROM VNIR/SWIR HYPERSPECTRAL AIRBORNE DATA
Hyperspectral remote sensing Semi-Blind source separation Non-Negative Matrix Factorization partial least squares regression clay content semi-vegetated pixels
2015/9/21
The applicability of Visible, Near-Infrared and Short Wave Infrared (VNIR/SWIR) hyperspectral imagery for soil property mapping decreases when surfaces are partially covered by vegetation. The objecti...
AIRBORNE HYPERSPECTRAL REMOTE SENSING FOR IDENTIFICATION GRASSLAND VEGETATION
Vegetation Mapping Hyperspectral Image Classification Maximum Likelihood Classifier Random Forest Support Vector Machine Open Landscape
2015/9/21
In our study we classified grassland vegetation types of an alkali landscape (Eastern Hungary), using different image classification methods for hyperspectral data. Our aim was to test the applicabili...
