搜索结果: 1-15 共查到“工学 Hyperspectral Images”相关记录19条 . 查询时间(0.044 秒)
DETERMINING SPECTRAL REFLECTANCE COEFFICIENTS FROM HYPERSPECTRAL IMAGES OBTAINED FROM LOW ALTITUDES
hyperspectral camera spectral reflectance coefficients spectral characteristic UAV aerial push-broom scanner radiometric correction
2016/11/23
Remote Sensing plays very important role in many different study fields, like hydrology, crop management, environmental and ecosystem studies. For all mentioned areas of interest different remote sens...
VEGA-CONSTELLATION TOOLS TO ANALIZE HYPERSPECTRAL IMAGES
Services Remote Infrastructure Distributed System Internet/Web
2016/11/8
Creating high-performance means to manage massive hyperspectral data (HSD) arrays is an actual challenge when it is implemented to deal with disparate information resources. Aiming to solve this probl...
Fusion of Hyperspectral Images and LIDAR data for Civil Engineering Structure Monitoring
LIDAR Hyperspectral Fusion data 3D maps Urban Environment
2016/1/25
Investigation of civil engineering materials includes a wide range of applications that requires three-dimensional (3D) information.
Complex structures shapes and formations within heterogeneous art...
A GENETIC ALGORITHM BASED WRAPPER FEATURE SELECTION METHOD FOR CLASSIFICATION OF HYPERSPECTRAL IMAGES USING SUPPORT VECTOR MACHINE
Feature Selection Hyperspectral Genetic Algorithm Supported Vector Machine
2015/12/31
The high-dimensional feature vectors of hyper spectral data often impose a high computational cost as well as the risk of "over fitting" when classification is performed. Therefore it is necessary to ...
DIMENSIONAL REDUCTION IN HYPERSPECTRAL IMAGES BY DANGER THEORY BASED ARTIFICIAL IMMUNE SYSTEM
Agriculture Hyper spectral Extraction Classification Artificial_Intelligence Algorithms
2015/12/31
A new dynamical dimensional reduction model (HDRM) for hyperspectral images is proposed based on clone selection algorithm which is inspired from nature immune system in this paper. In existing dimens...
NEW QUALITY REPRESENTATION FOR HYPERSPECTRAL IMAGES
Hyperspectral quality criteria evaluation compression
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...
EFFICIENT DETECTION OF ANOMALIES IN HYPERSPECTRAL IMAGES
Hyperspectral Target detection Anomaly detection RX algorithm ROC
2015/12/30
By reason of recent advances in airborne and ground-base hyperspectral imaging technology, many applications have been developed. One of the most important hyperspectral images applications involves a...
HYPERSPECTRAL IMAGES FOR UNCERTAINTY INFORMATION INTERPRETATION BASED ON FUZZY CLUSTERING AND NEURAL NETWORK
Uncertainty Information Fuzzy Clustering Feature Recognition Hyperspectral Understanding Neural Network
2015/12/23
Effective and understanding exploration of hyperspectral remote sensing data necessitates the development of sophisticated schemes that represent images. Such schemes ideally preserve and recognize si...
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
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...
Fusion of Hyperspectral Images and LIDAR-Based DEMs for Coastal Mapping
LIDAR Hyperspectral Rectification Classification Image processing
2015/12/9
Coastal mapping is essential for a number of applications such as coastal resource management, coastal environmental protection, and coastal development and planning. Coastal mapping has been carried ...
In most remotely sensed images, because of earth surface topography and
sun zenith and azimuth angles, some of features place in shadow and
consequently will not be classified and related to the app...
Weighted combination of multiple classifiers for the classification of hyperspectral images using a genetic algorithm
hyperspectral classification multiple classifiers,
2015/8/20
The improved spectral resolution of modern hyperspectral sensors provides effective means for discrimination of subtly
different classes and objects. However, in order to obtain statistically reliabl...
ESTIMATING WITHIN-FIELD VARIATIONS IN SOIL PROPERTIES FROM AIRBORNE HYPERSPECTRAL IMAGES
Hyperspectral image data soil conductivity soil data collection the hang seng index the spectral reflectance soil and the hang seng index quantification
2015/5/13
The ability of hyperspectral image (HSI) data to provide estimates of soil electrical conductivity (ECa) and soil
fertility levels without requiring extensive field data collection was investigated....
SPECTRAL UNMIXING FOR THE CLASSIFICATION OF HYPERSPECTRAL IMAGES
Spectral Unmixing Hyperspectral Sub-pixel Classification Least Squares Unmixing Matched Filter Unmixing Maximum Noise Fraction Transformation Remote Sensing
2015/2/4
Spectral mixing is inherent in any finite-resolution digital imagery of a heterogeneous surface, so that mixed pixels are
inevitably created when multispectral images are scanned. Solving the spectra...
Quality Metrics Evaluation of Hyperspectral Images
Classification Evaluation Hyperspectral k-means Clustering Principal Component Analysis Segmentation
2014/12/16
In this paper, the quality metrics evaluation on hyperspectral images has been presented using k-means clustering and segmentation. After classification the assessment of similarity between original i...