搜索结果: 1-15 共查到“工学 Hyperspectral Image”相关记录19条 . 查询时间(0.093 秒)
A BAND SELECTION METHOD FOR HIGH PRECISION REGISTRATION OF HYPERSPECTRAL IMAGE
Hyperspectral Image High Spatial Resolution Image Registration CRLB Theory Band Selection Algorithm
2018/5/16
During the registration of hyperspectral images and high spatial resolution images, too much bands in a hyperspectral image make it difficult to select bands with good registration performance. Terrib...
CLASSIFICATION AND RECOGNITION OF TOMB INFORMATION IN HYPERSPECTRAL IMAGE
Hyperspectral imaging technology PCA, Feature bands selection SVM Identification of matter
2018/5/14
There are a large number of materials with important historical information in ancient tombs. However, in many cases, these substances could become obscure and indistinguishable by human naked eye or ...
第四届全国成像光谱技术与应用研讨会（IEEE Workshop on Hyperspectral Image and Signal Processing）
第四届 全国成像光谱技术与应用 研讨会
2017/3/10
成像光谱技术与应用是当今科技发展的前沿领域之一，始终得到国内外遥感科研工作者的广泛关注，业已成为地球科学研究、资源与环境调查、国防建设等领域不可或缺的技术手段。近年来，随着环境与减灾卫星、天宫一号上搭载的成像光谱仪的成功应用，我国的高光谱遥感事业发展迅猛， 预计2017年我国搭载全谱段成像光谱仪的“高分五号”将发射升空，这将进一步推进我国成像光谱技术的全面发展。
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...
Hyperspectral image unmixing via alternating projected subgradients
Separation of hyperspectral images a convex optimization non-negative matrix factorization data
2015/8/10
We formulate the problem of hyperspectral image unmixing as a nonconvex optimization problem, similar to nonnegative matrix factorization. We present a heuristic for approximately solving this problem...