搜索结果: 1-15 共查到“Hyperspectral images”相关记录29条 . 查询时间(0.084 秒)
Revealing the Structure and Composition of the Restored Vegetation Cover in Semi-Arid Mine Dumps Based on LiDAR and Hyperspectral Images
ecological restoration hierarchical classification vegetation structure LiDAR vegetation species
2023/12/1
Remotely sensed images with low resolution can be effectively used for the large-area monitoring of vegetation restoration, but are unsuitable for accurate small-area monitoring. This limits researche...
A Hybrid Classification of Imbalanced Hyperspectral Images Using ADASYN and Enhanced Deep Subsampled Multi-Grained Cascaded Forest
hyperspectral image imbalanced data oversampling adaptive synthetic sampling tree-based classifier subsampling deep multi-grained cascade forest
2023/11/29
Hyperspectral image (HSI) analysis generally suffers from issues such as high dimensionality, imbalanced sample sets for different classes, and the choice of classifiers for artificially balanced data...
SHIP DETECTION BASED ON MULTIPLE FEATURES IN RANDOM FOREST MODEL FOR HYPERSPECTRAL IMAGES
Hyperspectral Image Ship Detection Multiple Feature Spectral Feature Texture Feature Random Forest (RF)
2018/5/14
A novel method for detecting ships which aim to make full use of both the spatial and spectral information from hyperspectral images is proposed. Firstly, the band which is high signal-noise ratio in ...
3D RECONSTRUCTION FROM UAV-BASED HYPERSPECTRAL IMAGES
Cubert UHD185 Hyperspectral images Structure from motion 3D reconstruction Database
2018/5/15
Reconstructing the 3D profile from a set of UAV-based images can obtain hyperspectral information, as well as the 3D coordinate of any point on the profile. Our images are captured from the Cubert UHD...
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...