[PDF] Top 20 Spectral and Spatial Cloud Detection Onboard for Hyperspectral Remote Sensing Image
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Spectral and Spatial Cloud Detection Onboard for Hyperspectral Remote Sensing Image
... for cloud detection onboard such as ACCA algorithm [26] for multispectral and HCC algorithm [23] for hyperspectral appear to be good discriminators for most of the ...these cloud ... See full document
24
Applications of Hyperspectral Remote Sensing in Ground Object Identification and Classification
... In remote sensing imaging systems, spatial resolution and spectral resolution are often not available at the same ...the spectral bandwidth of the hyperspectral imaging system is ... See full document
12
Multi-Spectral Ship Detection using Optical, Hyperspectral, and Microwave SAR Remote Sensing for Sustainability of the Coastal Region
... In addition to these, all-weather SAR images can also extensively used on cloudy days. However, SAR satellites have been used to observe the sea surface very intermittently at a significantly lower observation rate than ... See full document
17
Hybrid Subspace Detection based on Spectral and Spatial Information for Effective Hyperspectral Image Classification
... Hyperspectral remote sensors capture hundreds of contiguous spectral bands in optical wavelength range ...high spectral resultations that are used in many ...in remote sensing ... See full document
7
Multiscale spatial-spectral convolutional network with image-based framework for hyperspectral imagery classification
... multiscale spatial structures and proposed an unsupervised cooperative sparse autoencoder method to fuse deep spatial features and spectral ...a spectral attention network. Wang et al. [33] ... See full document
21
Kernel Principal Component Analysis for the Classification of Hyperspectral Remote Sensing Data over Urban Areas
... of remote sensing data: the use of spatial ...High-resolution hyperspectral data from urban areas provide both detailed spatial and spectral ...the spectral information ... See full document
14
Nonlocal tensor sparse representation and low-rank regularization for hyperspectral image compressive sensing reconstruction
... Hyperspectral image (HSI) is a three-dimension data cube by simultaneously capturing the information over two spatial and one spectral ...abundant spatial-spectral information is ... See full document
24
Advanced Spectral and Spatial Techniques for Hyperspectral Image Analysis and Classification
... of hyperspectral data can provide a better character- ization of the spectral behaviour of different land-covers, however the redun- dancy of information should be detected and discarded in order to improve ... See full document
172
Spatial mapping of leaf area index using hyperspectral remote sensing for hydrological applications with a particular focus on canopy interception
... 2001). Remote sensing has been widely recognised as a valuable tool for the detection and analyses of data, both spatially and temporally, with sig- nificant advantages over point sources (Bongonko, ... See full document
10
A Review of Machine Learning for Hyperspectral Image Applications
... Hyperspectral Image processing is an important area which derives its roots from remote ...sensing. Remote sensing is defined as means of gathering information such that no ... See full document
6
Using Hyperspectral Remote Sensing to Estimate Leaf Area Index of Loblolly Pine Plantations
... and spatial point pattern (Kaluzny et al., 1997; Goovaerts, 1997). Remote sensing data are in the lattice data class, where observations are associated with spatial regions and the ... See full document
115
Spatial and Temporal Variability of Moisture Condition in Soil-Plant Environmet using Spectral Data and GIS Tools
... Currently, remote sensing techniques are rapidly ...satellite remote sensing in the spectral and spatial resolution are observed – from NOAA (National Oceanic and Atmospheric ... See full document
9
Effect of hyperspectral image denoising with PCA and total variation on tree species mapping using Apex Data
... HS remote sensing technology makes it possible to provide a large amount of spatial and spectral information for forest applications such as tree species classification and forest attributes ... See full document
5
Spectral Angle Mapper Algorithm For Remote Sensing Image Classification
... satellite image classification. Hyperspectral Image provides pixel spectrum that fetches detailed information about a surface to identify and distinguish between spectrally similar (but unique) ... See full document
5
Huang, Shengli (2005): The potential of multi-sensor satellite data for applications in environmental monitoring with special emphasis on land cover mapping, desertification monitoring and fire detection. Dissertation, LMU München: Fakultät für Biologie
... instrument onboard ENVISAT, Advanced Synthetic Aperture Radar (ASAR), ensures continuity of data after ERS-2, while the Medium Resolution Imaging Spectrometer (MERIS) measures the solar radiation reflected by the ... See full document
155
Hyperspectral Images Classification via Weighted Spatial Spectral Principle Component Analysis
... Hyperspectral remote sensing technology has been rapidly developed since in the 1980 of the 20 th century [1], and widely used for environmental science, geological research, precision agriculture, ... See full document
7
Analysis of compressive sensing for hyperspectral remote sensing applications
... Compressive Sensing (CS) systems capture data with fewer measurements than tradi- tional sensors assuming that imagery is redundant and compressible in the spectral and spatial ...combines ... See full document
117
Spectral-spatial Feature Extraction for Hyperspectral Image Classification
... In remote sensing, hyperspectral image classification addresses the problem of land- cover class identification and thematic map generation, which has extensive applica- tions in precision ... See full document
179
A REVIEW ON ?STUDY AND ANALYSIS OF HYPERSPECTRAL IMAGES?
... about spatial distribution of soil ...& image analysis (DTIA) with paddy soil from the Tai Lake region as case ....recently hyperspectral diagnosis technique is used to measured soil organic ... See full document
6
Remote sensing
... ice detection in clouds with lidar and radar will be the starting point of a development that will enable us to follow the life cycle of a heterogeneously formed ice particle from the ice nucleus (Mamouri and ... See full document
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