A multistage statistical pattern classification algorithm is proposed. The algorithm consists of three consecutive stages: (1) parallelpiped classification, (2) a new method for ellipsoidal separation, (3) Mahalanobis...
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A multistage statistical pattern classification algorithm is proposed. The algorithm consists of three consecutive stages: (1) parallelpiped classification, (2) a new method for ellipsoidal separation, (3) Mahalanobis minimum distance classification. The multistage classifier is designed such that points not classified by a given stage are considered by the next one. The performance of the classifier is tested using a synthetic image. It has been found that this approach reduces computer classification time at a reasonable expense of classification accuracy. The algorithm performs well for the classification of remotesensingimages and is implemented on a microcomputer.
This investigation has attempted to discover appropriate texture descriptors and to reveal more clearly the importance of texture analysis techniques for multispectral cloud classification. The textural features consi...
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This investigation has attempted to discover appropriate texture descriptors and to reveal more clearly the importance of texture analysis techniques for multispectral cloud classification. The textural features considered in this study include both spatial and frequency features. The spatial features were mainly those based on spatial grey-level difference statistics and circular Moran autocorrelation measures. The frequency features were those based on summed energies of polar co-ordinate Fourier power spectra and entropy-based measures of the spatial distribution of frequency entries in the polar spectra. Some other textural features, such as the Roberts gradient measure, were also investigated. The work was performed withTIROS-NAVHRR image data acquired in the late spring of 1979 over areas near the British Isles. The results of the evaluation and corresponding conclusions show which individual, and group of textural features, appear the most appropriate for aiding multispectral cloud classification.
This proceedings volume (volume 4 of 5) contains 228 papers, of which 4 are in French. The following topics are dealt with: surface properties;mineral exploration;geological studies;synthetic-aperture and other radars...
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This proceedings volume (volume 4 of 5) contains 228 papers, of which 4 are in French. The following topics are dealt with: surface properties;mineral exploration;geological studies;synthetic-aperture and other radars;terrain and land cover classification;sea ice;imaging techniques;geographic information systems and other database systems;land use;imageprocessing and analysis;computer analysis and modeling;geophysical studies;meteorology;hydrology and water resources;forestry;environmental impact and modeling;Radarsat;radar calibration;radiometers;oceanography;ship wakes;agriculture;patternrecognition;scatterometry;vegetation mapping;knowledge-based systems;atmospheric effects;data storage;snow and ice cover;rain;soil and soil erosion;fisheries;spectrometry;remotesensing for developing nations.
This first of five volumes contains 116 papers, three of which are in French. Topics dealt with include: surface properties;mineral exploration;geological studies;synthetic-aperture and other radars;terrain and land c...
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This first of five volumes contains 116 papers, three of which are in French. Topics dealt with include: surface properties;mineral exploration;geological studies;synthetic-aperture and other radars;terrain and land cover classification;sea ice;imaging techniques;geographic information systems and other database systems;land use;imageprocessing and analysis;computer analysis and modeling;geophysical studies;meteorology;hydrology and water resources;forestry;environmental impact and modeling;Radarsat;radar calibration;radiometers;oceanography;ship wakes;agriculture;patternrecognition;vegetation mapping;NORCSEX-88;knowledge-based systems;atmospheric effects;data storage;snow and ice cover;rain;soil and soil erosion;fisheries;spectrometry.
An intermediate representation based on combined edge and surface data is proposed to support the recognition of objects in cluttered scenes. The representation is based don the premise that local structure of surface...
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ISBN:
(纸本)081861952x
An intermediate representation based on combined edge and surface data is proposed to support the recognition of objects in cluttered scenes. The representation is based don the premise that local structure of surface and edge (wings) can be reliably sensed without higher-level models, while global edge, surface, and part structures cannot be. A sensing system for indoor scenes is discussed which allows fusion of an intensity image and an image where depth is coded using structured light. Surface patches are detected and coarsely typed according to only the 2-D structure in the stripped image together with global knowledge of the stripe projection, while edges are detected from intensity gradients or boundaries of stripe patches. A set of rules is given for describing the 3-D structure corresponding to each wing constructed in the intermediate scene representation. An extended set of rules is proposed for partitioning the set of sensed wings into subsets corresponding to solid-object parts. Reasonable results are reported when these rules are applied to several complex scenes.
An efficient method of image analysis suitable for imaging spectrometry is described. The method comprises most of the important image analysis techniques. It is divided into three stages: statistical pattern recognit...
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An efficient method of image analysis suitable for imaging spectrometry is described. The method comprises most of the important image analysis techniques. It is divided into three stages: statistical patternrecognition, structural patternrecognition and artificial intelligence. The benefit of such a system is that what one stage fails to accomplish can be completed by another stage. The operation of each of the stages is discussed.
Deals with the automatic analysis of weather satellite images. This application poses particular problems for imageprocessing and patternrecognition, as the cloud structures present in the satellite images can be ex...
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Deals with the automatic analysis of weather satellite images. This application poses particular problems for imageprocessing and patternrecognition, as the cloud structures present in the satellite images can be expressed as a form of non-rigid objects within diffuse, time varying, images.< >
A novel technique for computing intrinsic surface properties is developed. Intrinsic surface properties refer to those properties of a surface which are not affected by the choice of the coordinate system, the positio...
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ISBN:
(纸本)081861952x
A novel technique for computing intrinsic surface properties is developed. Intrinsic surface properties refer to those properties of a surface which are not affected by the choice of the coordinate system, the position of the viewer relative to the surface, and the particular parametric representation used to describe the imaged surface. Since intrinsic properties are characteristics of a surface, they are ideal for the purpose of representation and recognition. The intrinsic properties of interest here are the principal curvatures, the intrinsic distance, and the lines of curvature. The authors adopt a structured lighting sensing configuration where a grid pattern is projected to encode the object surfaces for analysis. At each stripe junction, the curvature of the projected stripe on the object surface is computed and related to that of the normal section which shares the same tangential direction as the projected curve. The principal curvatures and the their directions at the stripe junction under consideration are then recovered using Euler's theorem.
A novel idea for the analysis of shape from reflectance maps is introduced. It is shown that local surface orientation and curvature constraints can be obtained at points on a smooth surface by computing the instantan...
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ISBN:
(纸本)081861952x
A novel idea for the analysis of shape from reflectance maps is introduced. It is shown that local surface orientation and curvature constraints can be obtained at points on a smooth surface by computing the instantaneous rate of change of reflected scene radiance caused by angular variations in illumination geometry. The resulting instantaneous changes in image irradiance values across an optic sensing array of pixels constitute what is termed a photometric flow field. Unlike optic flow fields, which are instantaneous changes in position across an optic array of pixels caused by relative motion, there is no correspondence problem with respect to obtaining the instantaneous change in image irradiance values between successive image frames. This is because the object and camera remain static relative to one another as the illumination geometry changes. Simulations show how photometric flow fields quantitatively determine local surface orientation from a known incident orientation of an illuminator, as well as determining incident illuminator orientation from a known local surface orientation.
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