搜索结果: 1-15 共查到“测绘科学技术 Hyperspectral Image”相关记录15条 . 查询时间(0.131 秒)
HYPERSPECTRAL TRANSFORMATION FROM EO-1 ALI IMAGERY USING PSEUDO-HYPERSPECTRAL IMAGE SYNTHESIS ALGORITHM
Hyperspectral data multiple analysis spectral reconstruction Hyperion ALI
2016/11/23
Hyperspectral remote sensing is more effective than multispectral remote sensing in many application fields because of having hundreds of observation bands with high spectral resolution. However, hype...
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...
A DIVERSIFIED DEEP BELIEF NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Diversity Deep Belief Network (DBN) Hyperspectral Image Classification
2016/11/23
In recent years, researches in remote sensing demonstrated that deep architectures with multiple layers can potentially extract abstract and invariant features for better hyperspectral image classific...
EVALUATING THE INITIALIZATION METHODS OF WAVELET NETWORKS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Hyperspectral Classification Wavelet Neural Networks Wavelet Networks Initialization
2016/11/23
The idea of using artificial neural network has been proven useful for hyperspectral image classification. However, the high dimensionality of hyperspectral images usually leads to the failure of cons...
HYPERSPECTRAL IMAGE KERNEL SPARSE SUBSPACE CLUSTERING WITH SPATIAL MAX POOLING OPERATION
Hyperspectral image nonlinear processing spatial max pooling SSC kernel
2016/7/28
In this paper, we present a kernel sparse subspace clustering with spatial max pooling operation (KSSC-SMP) algorithm for hyperspectral remote sensing imagery. Firstly, the feature points are mapped f...
USING A LABORATORIAL HYPERSPECTRAL IMAGE FOR THE EVALUATION OF FEATURE REDUCTION METHODS FOR THE CLASSIFICATION OF HIGH DIMENSIONAL DATA
Hyperspectral Sensing Feature Selection Feature Extraction Classification
2015/12/31
Thee rapid advances in hyperspectral sensing technology have made it possible to collect remote sensing data in hundreds of bands. However, the data analysis methods which have been successfully appli...
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...
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
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...
USE SATELLITE IMAGES AND IMPROVE THE ACCURACY OF HYPERSPECTRAL IMAGE WITH THE CLASSIFICATION
Accuracy Improvement Hyperspectral Minimum Noise Classification Subpixel
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 ...
DETECTION OF BUILT-UP AREAS USING POLARIMETRIC SYNTHETIC APERTURE RADAR DATA AND HYPERSPECTRAL IMAGE
Polarimetric synthetic aperture radar polarimetric target decomposition hyperspectral image target detection correlation coefficient
2016/1/15
Polarimetric synthetic aperture radar (POLSAR) is an advantageous data for information extraction about objects and structures by using the wave scattering and polarization properties. Hyperspectral r...
HYPERSPECTRAL IMAGE FILTERING AND IMPLICATIONS FOR ENVIRONMENTAL SPECTRA RELATED TO MINING CONTAMINATION: EXAMPLE FROM S.DOMINGOS MINE, SE PORTUGAL
atmospheric components physical models
2015/9/8
The removal of atmospheric components, a key factor that controls all subsequent image processing, is
usually dealt through statistical or physical models. However, noise components may not be comple...
AUTOMATIC GENERATION OF TRAINING DATA FOR HYPERSPECTRAL IMAGE CLASSIFICATION USING SUPPORT VECTOR MACHINE
High resolution DSM Hyperspectral
2015/5/6
An image classification method based on Support Vector Machine (SVM) is proposed on hyperspectral and 3K DSM data. To obtain training data we applied an automatic method relating to four classes nam...
Multiple Classifiers and Graph Cut Methods for Spectral Spatial Classification of Hyperspectral Image
Hyperspectral image classification Multiple classifier system Spectral spatial classification Random subspace method
2014/12/15
Hyperspectral image contains fine spectral and spatial resolutions for generating accurate land use and land cover maps. Supervised classification is the one of method used to exploit the information ...
Texture Based Hyperspectral Image Classification
Hyperspectral Spectral Texture Geometric Moments Classification Support Vector Machine
2014/12/15
This research work presents a supervised classification framework for hyperspectral data that takes into account both spectral and spatial information. Texture analysis is performed to model spatial c...
COMPARISOM OF WAVELET-BASED AND HHT-BASED FEATURE EXTRACTION METHODS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Hyperspectral Image Feature Extraction Classification Wavelet Transform Hilbert-Huang Transform
2014/4/29
Hyperspectral images, which contain rich and fine spectral information, can be used to identify surface objects and improve land use/cover classification accuracy. Due to the property of high dimensio...