spectral and spatial information.
Abstract : we proposed a spectral-spatial information based classification method for classification of diseased
... a spectral-spatial information based classification method for classification of diseased trees in high-resolution multispectral satellite ...extract spatial information, with Support ...
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Classification of hyperspectral images by exploiting spectral-spatial information of superpixel via multiple kernels
... the spectral-spatial information of superpixels via multiple kernels, termed as superpixel-based classification via multiple kernels ...of spatial-neighboring pixels with very similar ...
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Hybrid Subspace Detection based on Spectral and Spatial Information for Effective Hyperspectral Image Classification
... denote narrow absorption features which provide strong discrimination capability in data inspection [2, 3]. This high dimensional data provides many research chanllenges as it requires more processing time. It also ...
7
Coastal wetland mapping with Sentinel-2 MSI imagery based on gravitational optimized multilayer perceptron and morphological attribute profiles
... The quantitative classification accuracy of different classifiers on the second study site is illustrated in Table 4. From the results, it is obvious that the highest mapping precision was also obtained by SCAA_MLP with ...
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Comparison of Spectral-Only and Spectral/Spatial Face Recognition for Personal Identity Verification
... authentication since intruders can use artificial materials or objects to gain unauthorized access. There are reports showing that fingerprint sensor devices have been deceived by Gummi fingers in Japan [14] and fake ...
6
Fusion of multispectral and panchromatic images and its quality assessment
... more information from the fused image than from the individual ...lower spatial resolution multispectral images are fused with higher spatial resolution panchromatic ...of spectral and ...
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Hyperspectral image classification via contextual deep learning
... the spatial informa- tion, but spatial contextual information of HSI is as impor- tant as the spectral information ...fact, spatial adja- cent pixels usually share similar ...
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Spatial and Spectral Nonparametric Linear Feature Extraction Method for Hyperspectral Image Classification
... the spectral space. Using only spectral informat ion to classification tasks is ...insufficient. Spatial conte xture info rmation has been proven to be useful to improve the classification of HSI ...
5
Performance Analysis of Image Fusion Techniques to Improve Quality of Satellite Data Bhagyamma S, A L Choodarathnakara, Ranjitha T K, Ramya A P, Niranjan K M
... different spatial, spectral, and temporal ...complementary information into one signal ...rich information that will improve the performance of image analysis ...the spatial resolution ...
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SPECTRAL-SPATIAL CLASSIFICATION OF SPECTRAL IMAGES WITH SUPER PIXEL-BASED DISCRIMINATIVE SPARES MODEL
... much information per byte) destructively compressed 24 bit (16 million colours) bitmap ...the information in an image including all the ...convey information about positions, sizes and inter ...
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Dynamic post-earthquake image segmentation with an adaptive spectral-spatial descriptor
... The segmentation of post-earthquake VHR images is highly dependent on the similarity measure, which has shown a considerable degree of effect in characterizing the geo-objects [10,12–14]. Although the four compared ...
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Utilizing image texture to detect land-cover change in Mediterranean coastal wetlands
... of spectral data using the standard band ...much spatial variability, the use of spatial information to discriminate between land covers in both space and time has not been utilized to ...
25
Volume 2, Issue 3, March 2013 Page 486
... wise information. Effort is made to use spectral labelled & classified image as well as spatial information as the basis for classification ...the spectral space using mahalanobis ...
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Spectral-spatial Feature Extraction for Hyperspectral Image Classification
... extracting spectral features picked from typical face regions, such as forehead, cheeks, hair, and ...the spatial information by intro- ducing a spectral eigenface method ...hyper- ...
179
Spectral Clustering in Heterogeneous Information Networks
... • SClump-RWR uses random walks rather than meta-paths to measure object similarity in HINs. From the tables, we see that SClump consistently outperforms SClump-RWR over all the contests. This shows that meta-paths are ...
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Multi layered Annotation of Non textual Data for Spatial Information
... The description of these objects may have to be more explicit for the purposes of computing, per- haps requiring the use of such notions as pixels, co- ordinates, orientations or topological properties to make them ...
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Spatial approaches to information search
... to information search, the space to be searched is that of multiple interactions between entities, stressing the need to be able to express and solve complex queries for spatial, temporal, and thematic ...
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Spectral-spatial classification of hyperspectral data using spectral-domain local binary patterns
... in spectral-spatial features classification for hyperspectral images (HSI) with high spatial ...novel Spectral-spatial classification method for improving hyperspectral image ...
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Spectral Methods for Likelihood Approximation of Spatial Processes
... the spectral density in the Whittle’s likelihood function, the periodogram bias is non- negligible for 2-dimensional processes, and for 3-dimensions the bias dominates the mean squared error (MSE) of the parameter ...
94
Subdomain Chebyshev Spectral Method for 2D and 3D Numerical Differentiations in a Curved Coordinate System
... Chebyshev spectral method” is presented for calculation of the spatial derivatives in a curved coordinate system, which may be employed for numerical solutions of partial differential equations defined in a ...
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