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conference on image and Signal processing for remote sensing VII

作者： Nasr, AH Darwish, AM Shaheen, SI Natl Author Remote Sensing & Space Sci Cairo 1564 Egypt

ISBN: (纸本)0819442666

A variety of techniques exist for change detection of multitemporal remotely sensed satellite data. The Intensity-Hue-Saturation (IHS) color space is very useful for image processing because it separates the color information in ways that correspond to the human visual system's response. In this study, a novel approach, emphasizing the use of the hue component of the IHS transformations of Landsat data, is proposed and examined for multitemporal change detection. Two Landsat Thematic Mapper (TM) scenes acquired on 1987 and 1997 covering the western part of El-Fayoum area and El-Rayan lakes in Egypt have been processed (geometrically corrected and radiometrically balanced) and transformed to the IHS space. The results of using the hue component in detecting the changes are very promising. A number of changed areas including water and agriculture land were successfully detected. The used color theme print, which display the spatial pattern of change in map form, was of great significance in interpreting the environmental changes and the statistical estimation of these changes has been carried out as well.

关键词： Intensity-Hue-Saturation (IHS) change detection remote sensing multitemporal data image transformation geometric correction radiometric balancing

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A knowledge-based system for context dependent evaluation of remote sensing data

A knowledge-based system for context dependent evaluation of...

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24th Symposium of the German pattern recognition Association, DAGM 2002

作者： Bückner, J. Pahl, M. Stahlhut, O. Liedtke, C.-E. University of Hannover Germany

ISBN: (纸本)354044209X

Automatic interpretation of remote sensing data gathers more and more importance for surveillance tasks, reconnaissance and automatic generation and quality control of geographic maps. Methods and applications exist for structural analysis of image data as well as specialized segmentation algorithms for certain object classes. At the Institute of Communication Theory and Signal processing focus is set on procedures that incorporate a priori knowledge into the interpretation process. Though many advanced image processing algorithms have been developed in the past, a disadvantage of earlier interpretation systems is the missing combination capability for the results of different - especially multisensor - image processing operators. The system GeoAIDA presented in this paper utilizes a semantic net to model a priori knowledge about the scene. The low-level, context dependent segmentation is accomplished by already existing, external image processing operators, which are integrated and controlled by GeoAIDA. Also the evaluation of the interpretation hypothesis is done by externaloperators, linked to the GeoAIDA system. As a result an interactive map with user selectable level-of-detail is generated. © Springer-Verlag Berlin Heidelberg 2002.

关键词： image segmentation

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Multi-scale image analysis for ecological monitoring of heterogeneous, small structured landscapes

Multi-scale image analysis for ecological monitoring of hete...

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conference on remote sensing for Environmental Monitoring, GIS Applications, and Geology

作者： Blaschke, T Conradi, M Lang, S Salzburg Univ Dept Geog & Geoinformat A-5020 Salzburg Austria

ISBN: (纸本)0819442704

The main concept behind this paper is that pattern and processes are linked in a mutual way. In the last decades landscape ecology was dominated by quantitative descriptions (landscape metrics) of the landscape under concern and its components. Now there is a growing interest in the cause-effect-relationships between these environmental characteristics. High-resolution aerial photography hold an important amount of valuable information, but until recently only a little proportion of the entire information was usually used in scientific analyses due to conceptual and technical limitations. In this paper we present results derived with a multi-scale image segmentation approach and it is demonstrated how this approach allows for an identification of pattern at several scales simultaneously. First results testify that this is a suitable method for the delineation of meaningful landscape elements and subsequently for landscape monitoring, particularly if dealing with complex or small-scaled pattern. It is shown that hierarchically linked objects are more suitable for monitoring than pixels although the necessity for a comprehensive methodology for object-based change detection arises.

关键词： image segmentation image analysis Ecology remote sensing image resolution Geographic information systems image processing Organisms Photography Spatial resolution

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New phase contrast methods for optical processing

New phase contrast methods for optical processing

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conference on Optical pattern recognition XIII

作者： Glückstad, J Morgensen, PC Eriksen, RL Riso Natl Lab Opt & Fluid Dynam Dept DK-4000 Roskilde Denmark

ISBN: (纸本)0819444847

Based on the theoretical framework of the Generalised Phase Contrast (GPC) method we can design systems for a range of phase image processing applications and achieve optimal performance in terms of energy efficiency, visibility and peak irradiance. In this presentation, we give an overview of some potential applications that exploit the GPC method. These include phase-visualisation and wavefront sensing, programmable optical tweezers, optical encryption systems and amplitude encoding of spatial phase patterns.

关键词： phase contrast wavefront encoding phase visualisation phase-only encryption programmable optical tweezers spatial phase modulation

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Foveated online 3D visualization

Foveated online 3D visualization

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16th International conference on pattern recognition (ICPR)

作者： Basu, A Cheng, I Pan, Y Univ Alberta Dept Comp Sci Edmonton AB T6G 2E8 Canada

ISBN: (纸本)076951695X

Spatially varying sensing (foveation) was first used as a means for image compression in our past research [1]. In this report we extend previous work by us to address the advantages of foveation in improving the performance of interactive 3D visualization over bandwidth limited channels, such as the Internet. We develop an algorithm that is implemented in JAVA3D. The method combines foveating JPEG texture files with level-of-detail representation in JAVA3D. Applications of the work include model based coding following the Synthetic-Natural Hybrid (SNHC) paradigm in MPEG-4 to Electronic Commerce with 3D visualization of merchandise. Experimental results are presented to validate our approach.

关键词： image compression

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Thresholding video images for text detection

Thresholding video images for text detection

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16th International conference on pattern recognition, ICPR 2002

作者： Du, Eliza Yingzi Chang, Chein-I Thouin, Paul D. Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County 1000 Hilltop Circle BaltimoreMD21250 United States Department of Defense Fort MeadeMD20755 United States

ISBN: (纸本)0769516963

Thresholdging video images is very challenging due to the fact that image background generally has low resolution and is also more complicated and highly distorted than document images. As a result, thresholding methods that work well for document images may not work effectively for video images in some applications. This paper investigates the issue of thresholding video images for text detection and further develops a relative entropy-based thresholding approach that can effectively extract text from complicated video images. In order to demonstrate its performance a comparative study is conducted among the proposed thresholding method and several thresholding techniques which are widely used for document and gray scale images. The experimental results show that thresholdging video images is far more difficult than thresholding document images and simple histogrambased methods generally do not perform well. © 2002 IEEE.

关键词： pattern recognition

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MultiSpec - a tool for multispectral-hyperspectral image data analysis

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COMPUTERS & GEOSCIENCES 2002年第10期28卷 1153-1159页

作者： Biehl, L Landgrebe, D Purdue Univ Sch Elect & Comp Engn W Lafayette IN 47907 USA

MultiSpec is a multispectral image data analysis software application. it is intended to provide a fast, easy-to-use means for analysis of multispectral image data, such as that from the Landsat, SPOT, MODIS or IKONOS series of Earth observational satellites, hyperspectral data such as that from the Airborne Visible Infrared Imaging Spectrometer (AVIRIS) and EO-1 Hyperion satellite system or the data that will be produced by the next generation of Earth observational sensors. The primary purpose for the system was to make new, otherwise complex analysis tools available to the general Earth science community. It has also found use in displaying and analyzing many other types of non-space related digital imagery, such as medical image data and in K-12 and university level educational activities. MultiSpec has been implemented for both the Apple Macintosh(R) and Microsoft Windows(R) operating systems-(OS). The effort was first begun on the Macintosh OS in 1988. The GLOBE (http://***) program supported the development of a subset of MultiSpec for the Windows OS in 1995. Since then most (but not all) of the features in the Macintosh OS version have been ported to the Windows OS version. Although copyrighted, MultiSpec with its documentation is distributed without charge. The Macintosh and Windows versions and documentation on its use are available from the World Wide Web at URL: http://***/similar tobiehl/MultiSpec/ MultiSpec is copyrighted (1991-2001) by Purdue Research Foundation, West Lafayette, Indiana 47907. (C) 2002 Elsevier Science Ltd. All rights reserved.

关键词： remote sensing image processing pattern recognition

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Integer Haar wavelet for remote sensing image compression

Integer Haar wavelet for remote sensing image compression

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International conference on Signal processing Proceedings (ICSP)

作者： Wang Zhenhua Xu Hongbo Tian Yan Tian Jinwen Liu Jian Institute for Pattern Recognition and Artificial Intelligence State Key Laboratory for Image Processing and Intelligent Control Huazhong University of science and Technology Wuhan China

ISBN: (纸本)0780374886

With the development of remote sensing technique, onboard data compression has become an urgent need and a lot of study has been directed toward the development of efficient techniques. In this paper, the construction approach of integer Haar is discussed briefly, and a simple image compression scheme based on the integer Haar wavelet transform and block DPCM is proposed. The scheme can be easily designed for data processing in real-time systems of remote sensing with parallel algorithms. Simulation experimental results demonstrate that the proposed approach is a efficient image compression method.

关键词： image coding remote sensing Wavelet transforms Frequency Data compression image reconstruction pattern recognition Artificial intelligence image processing Intelligent control

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24th DAGM Symposium on pattern recognition, 2002

24th DAGM Symposium on Pattern Recognition, 2002

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24th German Association for pattern recognition Symposium, DAGM 2002

ISBN: (纸本)354044209X

The proceedings contain 74 papers. The special focus in this conference is on Tracking, Segmentation, 3D Shape and Optical Flow. The topics include: Multimodal shape tracking with point distribution models;on optimal camera parameter selection in kalman filter based object tracking;video-based handsign recognition for intuitive human-computer-interaction;quality enhancement of reconstructed 3d models using coplanarity and constraints;human body reconstruction from image sequences;a knowledge-based system for context dependent evaluation of remote sensing data;empirically convergent adaptive estimation of grayvalue structure tensors;fast ICP algorithms for shape registration;appearance based generic object modeling and recognition using probabilistic principal component analysis;logarithmic tapering graph pyramid;a new and efficient algorithm for detecting the corners in digital images;unsupervised image partitioning with semidefinite programming;the application of genetic algorithms in structural seismic image interpretation;efficient modification of the central weighted vector median filter;fast recovery of piled deformable objects using superquadrics;analysis of amperometric biosensor curves using hidden-Markov-modells;unifying registration and segmentation for multi-sensor images;relations between soft wavelet shrinkage and total variation denoising;statistical image sequence processing for temporal change detection;shape from single stripe pattern illumination;a probabilistic approach to building roof reconstruction using semantic labelling;adaptive pose estimation for different corresponding entities;properties of a three-dimensional island hierarchy for segmentation of 3d images with the color structure code and hierarchical primitives based contour matching.

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Thresholding video images for text detection

Thresholding video images for text detection

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作者： Du, Eliza Yingzi Chang, Chein-I Thouin, Paul D. Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County 1000 Hilltop Circle Baltimore MD 21250 Department of Defense Fort Meade MD 20755

Thresholdging video images is very challenging due to the fact that image background generally has low resolution and is also more complicated and highly distorted than document images. As a result, thresholding methods that work well for document images may not work effectively for video images in some applications. This paper investigates the issue of thresholding video images for text detection and further develops a relative entropy-based thresholding approach that can effectively extract text from complicated video images. In order to demonstrate its performance a comparative study is conducted among the proposed thresholding method and several thresholding techniques which are widely used for document and gray scale images. The experimental results show that thresholdging video images is far more difficult than thresholding document images and simple histogram-based methods generally do not perform well. © 2002 IEEE.

关键词： Video signal processing

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