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NEW QUALITY REPRESENTATION FOR HYPERSPECTRAL IMAGES
Hyperspectral quality criteria evaluation compression
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2015/12/31
Assessing the quality of a hyperspectral image is a difficult task. However, this assessment is required at different levels of the instrument design: evaluation of the signal to noise ratio necessary...
REMOTE MINE SITE REHABILITATION MONITORING USING AIRBORNE HYPERSPECTRAL IMAGING AND LANDSCAPE FUNCTION ANALYSIS (LFA)
Hyperspectral environment mapping vegetation ecosystem
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2015/12/31
Landscape Function Analysis (LFA) is an environmental monitoring technique which is internationally recognized as a method of measuring and monitoring ecosystem function and rehabilitation progress. A...
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
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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
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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...
A 4D MORPHOLOGICAL SCALE SPACE REPRESENTATION FOR HYPERSPECTRAL IMAGERY
Imaging spectrometry Mathematical morphology Anisotropic diffusion Image simplification Levelings Denoising
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2015/12/30
In this paper, a 4D scale space representation is introduced aiming at denoising, smoothing and simplifying effectively airborne and spaceborne hyperspectral imagery. Our approach is based on a novel ...
HYPERSPECTRAL DATA MINING FOR CHARACTERISING GRANITE TYPE URANIUM DEPOSITS IN SOUTH CHINA
Hyper Spectral Data Mining Geology Exploration Identification Integration
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2015/12/29
Based on hyper spectral data mining techniques, field spectra data is used to study the diagnosable spectral signatures of uranium mineralization factors in this paper, and the spectral features of pl...
TARGETING LIMESTONE AND BAUXITE DEPOSITS IN SOUTHERN INDIA BY SPECTRAL UNMIXING OF HYPERSPECTRAL IMAGE DATA
Hyperspectral ASTER Spectral unmixing End-member spectra limestone bauxite exploration
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2015/12/29
This paper presents a study about the potential of spectral unmixing of hyperspectral satellite image data for targeting and quantification of mineral content in limestone and bauxite rich areas in so...
QUANTITATIVE MAPPING OF SOIL ORGANIC MATERIAL USING FIELD SPECTROMETER AND HYPERSPECTRAL REMOTE SENSING
Quantitative Mapping Hyperspectral Remote Sensing Soil Organic Material
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2015/12/28
Mapping and dating soil organic material is of great importance in soil use and evaluation. Yet the most common mapping method of these features is based on visual, qualitative interpretation of air-p...
Discovering Archaeological Cropmarks: a Hyperspectral Approach
NERC ARSF Aerial Archaeology ATM
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2015/12/16
For the last half century aerial photography has been considered to have made the single most important contribution to
archaeological site discovery in temperate latitudes, as subsurface features ca...
DRILL CORE MINERAL ANALYSIS BY MEANS OF THE HYPERSPECTRAL IMAGING SPECTROMETER HySpex, XRD AND ASD IN PROXIMITY OF THE MYTINA MAAR, CZECH REPUBLIC
Remote Sensing Imaging Spectroscopy Geology Drill Cores Mineralogy Mytina maar
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2016/1/15
Imaging spectroscopy is increasingly used for surface mapping. Therefore different expert systems are being utilized to identify surface cover materials. Those expert systems mainly rely on the spectr...
UNLABELED SELECTED SAMPLES IN FEATURE EXTRACTION FOR CLASSIFICATION OF HYPERSPECTRAL IMAGES WITH LIMITED TRAINING SAMPLES
Hyperspectral images feature extraction limited training samples unlabeled samples selection supervised classification
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2016/1/15
Feature extraction plays a key role in hyperspectral images classification. Using unlabeled samples, often unlimitedly available, unsupervised and semisupervised feature extraction methods show better...
COMBINATION OF BIOCHEMICAL AND HYPERSPECTRAL REMOTE SENSING METHODS FOR DETECTION OF HEAVY METAL POLLUTIONS IN EUCALYPTUS LEAVES (CASE STUDY: THE CITY OF BAM)
Biochemical analysis hyperspectral remote sensing As Pb Eucalyptus Bam city
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2016/1/15
Environmental pollution may be caused due to mines and mineral deposits. The accumulation of the associated heavy metals in soil and especially at the root zone of plants would result in plant contami...
USE SATELLITE IMAGES AND IMPROVE THE ACCURACY OF HYPERSPECTRAL IMAGE WITH THE CLASSIFICATION
Accuracy Improvement Hyperspectral Minimum Noise Classification Subpixel
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2016/1/15
The best technique to extract information from remotely sensed image is classification. The problem of traditional classification methods is that each pixel is assigned to a single class by presuming ...
LAND COVER CHANGE DETECTION BASED ON GENETICALLY FEATURE AELECTION AND IMAGE ALGEBRA USING HYPERION HYPERSPECTRAL IMAGERY
Hyperspectral change detection feature selection genetic algorithm Land Cover
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2016/1/18
The Earth has always been under the influence of population growth and human activities. This process causes the changes in land use. Thus, for optimal management of the use of resources, it is necess...
DETERMINATION OF OPTIMUM CLASSIFICATION SYSTEM FOR HYPERSPECTRAL IMAGERY AND LIDAR DATA BASED ON BEES ALGORITHM
Hyperspectral LiDAR Fusion SVM Classifier Optimization Parameter Determination Feature Selection Bees Algorithm
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2016/1/18
Hyperspectral imagery is a rich source of spectral information and plays very important role in discrimination of similar land-cover classes. In the past, several efforts have been investigated for im...