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

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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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Cloud detection and removal in satellite images for tropical regions

Cloud detection and removal in satellite images for tropical...

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Proceedings of the 1996 3rd International conference on Signal processing, ICSP'96. Part 1 (of 2)

作者： Cai, Zhenlei Ho, Anthony T.S. Nanyang Technological Univ Singapore Singapore

We present a practical approach for detecting and localizing clouds in satellite remote sensing images. Cloud detection is useful in improving the accuracy of land cover classification when there are clouds present in the images. After detection and removal of clouds we can selectively merge classification results from two temporally separate images of the same area to minimize the cloud effect. We emphasize the ease of implementation of the algorithm so that practitioners can easily adapt the method for their own use.

关键词： pattern recognition

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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...

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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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Classification of multisensor remote-sensing images by multiple structured neural networks

Classification of multisensor remote-sensing images by multi...

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International conference on pattern recognition

作者： F. Roli S.B. Serpico L. Bruzzone Department of Electrical and Electronics Engineering University of Cagliari Cagliari Italy Department of Biophysical and Electronics Engineering University of Genoa Genoa Italy

Recently, a new class of structured neural networks (SNNs), explicitly devoted to multisensor remote-sensing image classification and aimed at allowing the interpretation of the "network behaviour", was proposed. Experiments reported pointed out that SNNs provide a trade off between classification accuracy and interpretation of the network behaviour. In this paper, the combination of multiple SNNs, each of which has been trained on the same data set, is proposed as a means to improve the classification results, while keeping the possibility of interpreting the network behaviour.

关键词： remote sensing Neural networks image classification Neurons Laser radar Multi-layer neural network image sensors Artificial neural networks Optical computing Optical sensors

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The investigation of singling algorithms for small-dimensioned object recognition for remote Earth sensing

The investigation of singling algorithms for small-dimension...

引用

International conference on Mathematical Methods in Electromagnetic Theory (MMET)

作者： B. Rusyn Karpenko Physico-Mechanical Institute National Academy of Sciences of Ukraine Lviv Ukraine

One of the methods of indication space formation for recognition of small-dimensioned objects on complex images which are obtained during remote sensing of Earth using space apparatus has been considered. The proposed method and the algorithm developed consist in replacing the small-dimension objects by a dashed-type description. This allows one to perform reliable recognition of objects both of natural and artificial origin.

关键词： Object recognition Earth Shape Skeleton remote sensing Fires Geoscience Inspection image recognition pattern analysis

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image processing to overcome channel capacity limitations in telemicroscopy

Image processing to overcome channel capacity limitations in...

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International conference on pattern recognition

作者： J. Schmid P. Schwarzmann B. Binder J. Burkart Institut für Physikalische Elektronik University of Stuttgart Germany

Telemicroscopy is the central tool to establish a net for telepathology services. To operate such a net in an economical and general available manner the public phone net is selected as communication link. To overcome some of the limitations imposed by the small channel capacity of today's ISDN phone nets with respect to image transmission, an improved handling of the image data stream is mandatory. A flexible, variable and self adapting strategy to compress and reduce image data according to the activity of the operator is described. A further reduction of the data stream is achieved by an autofocus procedure avoiding the transmission of unfocused image data during the focusing process. The remote operator can orient himself in the slide by means of a macro-image with a telecursor to avoid unnecessary image transmission just for orientation. With the help of an intelligent management of the transmitted image data stream an online impression including the movement of the slide under the remote microscope can be provided. To meet legal requirements in medicine tools are provided to record the inspection process for later archiving and documentation in the patient record file.

关键词： image processing Channel capacity Streaming media image communication ISDN image coding Focusing Microscopy Law Legal factors

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Using physics-based invariant representations for the recognition of regions in multispectral satellite images

Using physics-based invariant representations for the recogn...

引用

conference on Computer Vision and pattern recognition (CVPR)

作者： G. Healey A. Jain Computer Vision Laboratory University of California Irvine CA USA

We present a set of algorithms and a search strategy for the robust content-based retrieval of multispectral satellite images. Since the property of interest in these images is usually the physical characteristics of ground cover, we use representations and methods that are invariant to illumination and atmospheric conditions. The representations and algorithms are derived for this application from a physical model for the formation of multispectral satellite images. The use of several representations and algorithms is necessary to interpret the diversity of physical and geometric structure in these images. Algorithms are used that exploit multispectral distributions, multispectral spatial structure, and labeled classes. The performance of the system is demonstrated on a large set of multispectral satellite images taken over different areas of the United States under different illumination and atmospheric conditions.

关键词： Satellites Atmospheric modeling image retrieval Layout Content based retrieval Lighting remote sensing image storage image sensors image recognition

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Extraction of curved lines from images

Extraction of curved lines from images

引用

International conference on pattern recognition

作者： C. Steger Forschungsgruppe Bildverstehen Informatik IX Technische Universität München Munchen Germany

A method to extract curvilinear structures and their widths from digital images is presented. The approach is based on differential geometric properties of the image function. For each pixel, the second order Taylor polynomial is computed by convolving the image with the derivatives of a Gaussian smoothing kernel. Line points are required to have a vanishing gradient and a high curvature in the direction perpendicular to the line. The resulting filter generates a single response for each line. The line position can be determined with sub-pixel accuracy and the algorithm scales to lines of arbitrary width. A procedure to determine the width of the lines is described. It is based on locating the corresponding edge points of each line point in the direction perpendicular to the line with sub-pixel accuracy.

关键词： Polynomials Filters image edge detection Kernel Digital images Smoothing methods Pixel Computer vision remote sensing Feature extraction

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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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