搜索结果: 1-15 共查到“Hyperspectral Imagery”相关记录16条 . 查询时间(0.14 秒)
Ensemble machine-learning-based framework for estimating total nitrogen concentration in water using drone-borne hyperspectral imagery of emergent plants: A case study in an arid oasis, NW China
Water resources Remote sensing Total nitrogen Hyperspectral imagery Machine learning Bootstrap
2023/12/19
In arid and semi-arid regions, water-quality problems are crucial to local social demand and human well-being. However, the conventional remote sensing-based direct detection of water quality paramete...
Classification of Toona Sinensis Young Leaves Using Machine Learning And UAV-Borne Hyperspectral Imagery
Classification Toona Sinensis Young Leaves
2023/6/2
Rapid and accurate distinction between young and old leaves of Toona sinensis in the wild is of great significance to the selection of T. sinensis varieties and the evaluation of relative yield. In th...
A COMPARISON OF LIDAR REFLECTANCE AND RADIOMETRICALLY CALIBRATED HYPERSPECTRAL IMAGERY
Radiometry Calibration Laser Scanning Hyperspectral
2016/11/24
In order to retrieve results comparable under different flight parameters and among different flight campaigns, passive remote sensing data such as hyperspectral imagery need to undergo a radiometric ...
PARALLEL IMPLEMENTATION OF MORPHOLOGICAL PROFILE BASED SPECTRAL-SPATIAL CLASSIFICATION SCHEME FOR HYPERSPECTRAL IMAGERY
Hyperspectral Extended Morphological Profile (EMP) spectral-spatial classification parallel processing GPU
2016/11/23
Extended morphological profile (EMP) is a good technique for extracting spectral-spatial information from the images but large size of hyperspectral images is an important concern for creating EMPs. H...
A 4D MORPHOLOGICAL SCALE SPACE REPRESENTATION FOR HYPERSPECTRAL IMAGERY
Imaging spectrometry Mathematical morphology Anisotropic diffusion Image simplification Levelings Denoising
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 ...
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
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
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...
MORPHO-SPECTRAL RECOGNITION OF DENSE URBAN OBJECTS BY HYPERSPECTRAL IMAGERY
Morpho-spectral database Feature Extraction mophometry morphological attributes spectral attributes vector mapping build-up hyperspectral remote sensing
2015/9/21
This paper presents a methodology for recognizing, identifying and classifying built objects in dense urban areas, using a morphospectral approach applied to VNIR/SWIR hyperspectral image (HySpex). Th...
ANOMALY DETECTION ALGORITHMS FOR HYPERSPECTRAL IMAGERY
Hyperspectral Target detection Anomaly detection
2015/9/8
Nowadays the use of hyperspectral imagery specifically automatic target detection algorithms for these
images is a relatively exciting area of research.An important challenge of hyperspectral target ...
WAVELE-BASED REDUCTION OF HYPERSPECTRAL IMAGERY
remote sensing hyper spectral analysis classification reconstruction spectral
2015/7/29
New sensor technology has made it possible to gather multispectral images in hundreds and potentially thousands of spectral bands, this
tremendous increase in spectral resolution should provide a we...
USING HYPERSPECTRAL IMAGERY TO MAP ROADS AND DETERMINE SURFACE MATERIAL TYPES
Multispectral and hyperspectral image urban environment multispectral image the spectral resolution
2015/5/13
During the last several years, Boeing-Autometric has been actively engaged in using both multispectral and
hyperspectral imagery to extract Lines-of-Communication (LOC), i.e., roads and rivers, for ...
Using satellite hyperspectral imagery to map soil organic matter, total nitrogen and total phosphorus
total nitrogen total phosphorus partial least squares
2015/1/16
Up-to-date and accurate information on soil properties is important for precision farming and environmental management. The spatial information of soil properties allows adjustments of fertilizer appl...
USING AIRBORNE HYPERSPECTRAL IMAGERY TO ESTIMATE CHLOROPHYLL A AND PHYCOCYANIN IN THREE CENTRAL INDIANA MESOTROPHIC TO EUTROPHIC RESERVOIRS
Remote Sensing Phycocyanin
2015/1/16
This thesis presents the results of an analysis of predicting phytoplankton pigment concentrations (chlorophyll a and phycocyanin) from remotely sensed imagery. Hyperspectral airborne and hand-held re...
Practical example for use of the supervised vicarious calibration (SVC) method on multisource hyperspectral imagery data – ValCalHyp airborne hyperspectral campaign under the EUFAR framework
Unmixing Feature-extraction L1/2 nonnegative matrix Orthogonal matching pursuit Quantitative target detection Hyperspectral imagery
2014/9/29
A novel approach for radiometric calibration and atmospheric correction of airborne hyperspectral (HRS) data, termed supervised vicarious calibration (SVC) was proposed by Brook and Ben-Dor in 2010. T...
ROAD CLASSIFICATION AND CONDITION DETERMINATION USING HYPERSPECTRAL IMAGERY
Hyperspectral Urban ALK vector data Classification Condition
2014/4/29
Hyperspectral data has remarkable capabilities for automatic identification and mapping of urban surface materials because of its high spectral resolution. It includes a wealth of information which fa...