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检索条件"任意字段=Conference on Image Processing and Pattern Recognition in Remote Sensing II"

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A stochastic model of mixels and image classification

A stochastic model of mixels and image classification

引用

13th International conference on pattern recognition, ICPR 1996

作者： Kitamoto, Asanobu Takagi, Mikio Iiistitute of Industrial Science University of Tokyo Japan

ISBN: (纸本)081867282X

A pixel is not an atom. Most image processing algorithms basically assume that a pixel is not dividable;in other words, its inside is homogeneous consisting of only one classification class. This assumption is, however, not true for images, in particular remote sensing images, taken by a sensor with coarse resolution. In these images even a single image pixel may contain more data than two classification classes, which means that a pixel has an underlying heterogeneous structure internally. This paper discusses the statistical properties of these heterogeneous pixels, namely mixels. The difference between our work and previous work comes from the formulation of the problem-we focus on overall statistical properties that a set of pixels will show in the image intensity space. This formulation introduces our new stochastic model, mixel density, which also provides a proper interpretation for so-called long-tail density. © 1996 IEEE.

关键词： Pixels

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Energy representation based multiscale approach to image texture

Energy representation based multiscale approach to image tex...

引用

3rd International conference on Signal processing (ICSP 96)

作者： Zhang, JX Li, DR Liu, J Institute of Image Recognition & AI Huazhong University of Science and Technology Wuhan Hubei China School of Remote Sensing and Informatics Wuhan Technical University of Surveying and Mapping Wuhan Hubei China

ISBN: (纸本)7505338900

It is important to consider the role of scale for texture analysis since its multiscale attribute of image texture. In this paper a textural detector based on 2D Gabor function and visual textural perception is established first then based on the textural detector and recent developed theory of time-scale space decomposition-a general class extending wavelet transform, an energy distribution based texture anal sis method is proposedx. The texture analysis technique gives textural energy representation between spatial space and scale space and provides a hierarchical analysis framework for image texture. They can detect different scale texture features correspond to the visual texture perception and have the ability to recognize texture image effectively.

关键词： texture feature fusion texture analysis gabor function multiscale decomposition time-scale distribution

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Proceedings of the 1996 6th International conference on Development and Application of Computer Techniques to Environmental Studies, ENVIROSOFT 96

Proceedings of the 1996 6th International Conference on Deve...

引用

Proceedings of the 1996 6th International conference on Development and Application of Computer Techniques to Environmental Studies, ENVIROSOFT 96

The proceedings contains 69 articles from the International conference on the Development and Applications of Computer Techniques to Environmental Studies. Topics discussed include: environmental modeling, water pollution, air pollution, soil pollution, numerical models, state space methods, environmental chemistry, physics, and biology, surface and ground water hydrology, meteorology and climatology, fluid dynamics, satellite data, image processing, pattern recognition, remote sensing, database systems, environmental management and decision analysis, and software implementation.

关键词： Environmental engineering

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Active fusion using Bayesian networks applied to multi-temporal remote sensing imagery

Active fusion using Bayesian networks applied to multi-tempo...

引用

International conference on pattern recognition

作者： M. Prantl H. Ganster A. Pinz Institute for Computer Graphics Technical University of Graz Graz Austria

image processing applications and especially those in the area of remote sensing are often characterized by a high degree of complexity. We introduce a general framework, called 'active fusion', that actively selects and combines information from multiple sources in order to obtain a reliable result at reasonable costs. A sample implementation of parts of the framework is given using Bayesian networks and decision theoretic techniques for the task of agricultural field classification. This experiment shows a significant reduction in the number of information sources required for a reliable decision.

关键词： Bayesian methods remote sensing Application software remote monitoring Layout image processing Costs Control systems Computer graphics Robustness

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A stochastic model of mixels and image classification

A stochastic model of mixels and image classification

引用

International conference on pattern recognition

作者： A. Kitamoto M. Takagi Institute of Industrial Science University of Tokyo Japan

A pixel is not an "atom". Most image processing algorithms basically assume that a pixel is not dividable; in other words, its inside is homogeneous consisting of only one classification class. This assumption is, however, not true for images, in particular remote sensing images, taken by a sensor with coarse resolution. In these images even a single image pixel may contain more data than two classification classes, which means that a pixel has an underlying heterogeneous structure internally. This paper discusses the statistical properties of these heterogeneous pixels, namely mixels. The difference between our work and previous work comes from the formulation of the problem-we focus on overall statistical properties that a set of pixels will show in the image intensity space. This formulation introduces our new stochastic model, mixel density, which also provides a proper interpretation for so-called long-tail density.

关键词： Stochastic processes Pixel image resolution Spatial resolution image sensors Biomedical imaging Stochastic resonance Sensor arrays Reflection image processing

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Use of Fabry-Perot annular summing spectroscopy to acquire geocoronal hydrogen Balmer-alpha line profile data 2

Use of Fabry-Perot annular summing spectroscopy to acquire g...

引用

conference on Optical Spectroscopic Techniques and Instrumentation for Atmospheric and Space Research ii

作者： Nossal, S Roesler, FL Coakley, MM Reynolds, RJ Arecibo Observatory (United States) Univ. of Wisconsin/Madison (United States) MIT Haystack Observatory (United States)

ISBN: (纸本)0819422185

A Fabry-Perot annular summing spectroscopy technique has been used at the University of Wisconsin's Pine Bluff Observatory to acquire geocoronal Balmer-a line profile data with significantly improved precision and height resolution. The double-etalon Fabry-Perot interference pattern is imaged onto a Photometrics PM512 CCD chip, thus enabling light to be gathered in multiple spectral bins simultaneously. In comparison with scanning systems we used earlier, the high quantum efficiency of the CCD and the multi-channel detection associated with the Fabry-Perot annular summing technique have enabled us to save a factor of about 10 in the integration time required for studies of the line profile. As a result, we are now able to both more precisely observe the line shape of the very faint (1 - 10 R) Balmer-alpha emission and obtain data using shorter integration times. Our data illustrate the scientific potential for using this technique for the study of very faint extended emission line sources. The increase in the signal-to-noise of our data has enabled us to examine Balmer-alpha profile asymmetries which we have found to be compatible with predictions that on the order of 10% of the geocoronal Balmer-alpha excitation arises from cascades due to higher-member solar Lyman series excitation. This fine structure was overlooked in previous Balmer-alpha studies aimed at determining non-Maxwellian dynamical properties of exospheric hydrogen;we find that cascade excitation largely masks the expected very small dynamical perturbations to the line profile at low shadow heights, and must be more thoroughly studied before drawing conclusions about exospheric dynamics. Accounting for cascade also leads to more realistic determinations of exospheric hydrogen temperatures near the exobase. We will discuss both technical issues associated with annular summing spectroscopy as well as gecoronal Balmer-alpha line profile data obtained using this technique.

关键词： Fabry–Perot interferometers Hydrogen Charge-coupled devices Spectroscopy image processing Calibration Thorium Data acquisition Atmospheric modeling Observatories

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Road network extraction by local context interpretation

Road network extraction by local context interpretation

引用

image and Signal processing for remote sensing conference

作者： Ruskone, R Airault, S Jamet, O INST GEOG NATL ST MANDEFRANCE

ISBN: (纸本)0819419435

In this paper, we describe an interpretation tool likely to identify the arcs of a network generated by an automatic road network extraction system. This system is based on the variable use of various extraction methods: intensive for low-level processes, restricted for higher-level processes. A very special attention is drawn to the efficiency evaluation of this high-level module and to the modelization of the different objects of a scene.

关键词： road following pattern recognition image analysis

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Proceedings of the 5th International conference on image processing and its Applications

Proceedings of the 5th International Conference on Image Pro...

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Proceedings of the 5th International conference on image processing and its Applications

The proceedings contains 170 papers. Topics discussed include image processing, image coding, labelling and classification, medical applications, motion, stereo and three dimensional, image analysis, image interpretation, image coding and communications, shape description and recognition, image processing applications, computer architectures, image segmentation, neural networks, industrial inspection, filtering and morphology, texture and color, transport, security and remote sensing.

关键词： image processing

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Semi-automatic stereoscopic radar image analysis

Semi-automatic stereoscopic radar image analysis

引用

image and Signal processing for remote sensing conference

作者： Ansan, V Thouvenot, E UNIV PARIS 11 LAB GEOL DYNAM TERRE & PLANETESF-91405 ORSAYFRANCE

ISBN: (纸本)0819419435

Synthetic aperture radar is an active ranging sensor that is very sensitive to terrain slope. From available information included in radar image pixel, a Digital Elevation Model (DEM) may be generated. The radargrammetry is a method that derives a topographic map from two overlapping radar images, a set of homologous points and platform motion and geometry parameters. This method is based on the parallax in range direction. The stereoscopic radar image analysis consists of three main processing steps: (1) selection and plotting of homologous points, (2) elevation calculation based on the geometry of radar images (height and distance between the antennas, and look angles), and (3) elevation interpolation in order to generate a DEM. We develop an automatic research of homologous points location in the two images, taking into account geometry of radar image acquisition and curvature of the planet. This is based on automatic analysis of shape recognition determined by a threshold on pixel radiometric gradient. We use this method by an iterative way. Their elevation is calculated and interpolated on a regular grid to generate a DEM. The elevation accuracy depends on spatial resolution. This method has been tested on AIRSAR and Magellan images.

关键词： synthetic aperture radar radargrammetry digital elevation model radar image processing

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Unsupervised neural network classifier and its application in remote sensing

Unsupervised neural network classifier and its application i...

引用

Proceedings of the 5th International conference on image processing and its Applications

作者： Hammadi-Mesmoudi, F. Korczak, J.J. Universite Louis Pasteur Strasbourg France

Neural networks have been used to classify high resolution remote-sensed data. Experiments have demonstrated the potential of neural networks for clustering large number of ground cover instances using supervised methods. This paper will describe a new algorithm of unsupervised learning, based on artificial neural network. Its performance has been compared with the competitive learning algorithm. The efficiency of this approach has been demonstrated through experimental results obtained on real-world of multispectral remote sensing data.

关键词： Neural networks

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