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OIL SPILL AISA+ HYPERSPECTRAL DATA DETECTION BASED ON DIFFERENT SEA SURFACE GLINT SUPPRESSION METHODS
Oil Spill Detection Hyperspectral Data Glint Suppression Wavelet Transform Enhanced Lee Filter
2018/5/16
The marine oil spill is a sudden event, and the airborne hyperspectral means to detect the oil spill is an important part of the rapid response. Sun glint, the specular reflection of sun light from wa...
STRESS MONITORING OF MULBERRY PLANTS BY FINDING REP USING HYPERSPECTRAL DATA
Red Edge Position REP Hyper spectral Stress Monitoring Mulberry Plants
2017/7/12
Stressed on crop can be monitored using different indices. Red Edge position is good estimator for stress monitoring. The red edge position (REP) is strongly correlated with foliar chlorophyll content...
SUBTROPICAL FOREST BIOMASS ESTIMATION USING AIRBORNE LiDAR AND HYPERSPECTRAL DATA
ubtropical Forest Biomass Airborne Lidar Hyperspectral Fusion
2016/11/30
Forests have complex vertical structure and spatial mosaic pattern. Subtropical forest ecosystem consists of vast vegetation species and these species are always in a dynamic succession stages. It is ...
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...
ACCOUNTING FOR VARIANCE IN HYPERSPECTRAL DATA COMING FROM LIMITATIONS OF THE IMAGING SYSTEM
Supervised classification decorrelation Mahalanobis distance Signal-to-noise ratio (SNR) Bayesian approach Principal component analysis Pixel-wise calibration
2016/11/23
Over the course of the past few years, a number of methods was developed to incorporate hyperspectral imaging specifics into generic data mining techniques, traditionally used for hyperspectral data p...
BATHYMETRY MAPPING USING HYPERSPECTRAL DATA:A CASE STUDY OF YAMADA BAY,NORTHEAST JAPAN
CASI-1500h inversion method semi-analytical model simulation seagrass meadow shallow water
2016/11/23
This study aims to examine if the inversion method using hyperspectral data is applicable in Japan. Nowadays, overseas researchers are mainly applied an inversion method for accurately estimating wate...
LEAF AREA INDEX RETRIEVED FROM THERMAL HYPERSPECTRAL DATA
Thermal Emissivity spectra Leaf area index (LAI) Canopy Remote sensing Spectrometer
2016/11/23
Leaf area index (LAI) is an important essential biodiversity variable due to its role in many terrestrial ecosystem processes such as evapotranspiration, energy balance, and gas exchanges as well as p...
GEOCHEMICAL SAMPLING SCHEME OPTIMIZATION ON MINE WASTES BASED ON HYPERSPECTRAL DATA
Hazards Hyperspectral Sampling Pollution GIS
2016/1/3
Spatial sampling optimization is an important issue for both geo-chemists and geo-statisticians. Many spatial sampling optimization methods have been previously developed. In this paper, we present a ...
AN ARTIFICIAL IMMUNE ALGORITHM FOR SPECTRUM RECOGNITION OF HYPERSPECTRAL DATA
Hyperspectral artificial immune systems pattern recognition spectral matching
2015/12/31
An intelligent approach based on artificial immune systems (AIS) is proposed in this paper to perform the task of spectrum recognition in hyperspectral data analysis. Although traditional spectral mat...
ESTIMATION OF LEAF AREA INDEX AND CHLOROPHYLL FOR A MEDITERRANEAN GRASSLAND USING HYPERSPECTRAL DATA
Hyperspectral Vegetation Estimation Leaf Area Index Chlorophyll
2015/12/31
The study shows that leaf area index (LAI) and canopy chlorophyll content can be mapped in a heterogeneous Mediterranean grassland from canopy spectral reflectance measurements. Canopy spectral measur...
A NOVEL BAND SELECTION METHOD FOR HYPERSPECTRAL DATA ANALYSIS
Hyperspectral data Band Selection Search Strategy Data Representation
2015/12/31
This paper proposes an innovative band selection (BS) method called prototype space band selection (PSBS) based only on class spectra. The main novelty of the proposed BS lies in band representation i...
MAPPING OF LITHOLOGICAL UNITS OF CANKIRI BASIN,CENTRAL ANATOLIA, TURKEY WITH PROBA CHRIS HYPERSPECTRAL DATA
Mapping Hyperspectral Field Spectroscopy Laboratory Spectroscopy Calibration Proba CHRIS Image Data
2015/12/31
Remote sensing provides a valuable basis for regional geological mapping. This study aims for the mapping of lithological units in Eldivan-Çankırı part of Çankırı Basin u...
HYPERSPECTRAL DATA ANALYSIS OF N-FERTILISATION EFFECTS ON WINTER WHEAT:A CASE STUDY OF HUIMIN COUNTY,NORTH CHINA PLAIN
Hyperspectral Remote Sensing Classification Image Understanding Data Integration Crop Management Hyper-Spectral Instrument
2015/12/30
High nitrogen fertiliser applications are very common in many densely populated areas as in the North China Plain (NCP). A still growing population and an ongoing economic progress enforce that proces...
A NEW BAND SELECTION ALGORITHM FOR HYPERSPECTRAL DATA BASED ON FRACTAL DIMENSION
Hyper spectral Imagery Geometric information Feature extraction Algorithms
2015/12/30
Feature selection especially band selection plays important roles in hyperspectral remote sensed image processing. It is worth nothing that band selection approaches need to be combined with image spa...
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...