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

共 707 条记录，以下是441-450 订阅

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An Attractive Leader Approach Based Clustering for Non-Symmetric Proximity

An Attractive Leader Approach Based Clustering for Non-Symme...

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International conference on Signal processing, Communication and Networking (ICSCN)

作者： Bapu B. Kiranagi D.S. Guru Department of Studies in Computer Science University of Mysore India

In this paper, the importance of non-symmetric proximity between symbolic data is discussed and a new algorithm for clustering is proposed. The proposed algorithm works directly on the non-symmetric proximity matrices and is based on the leader oriented incremental approach. Experiments on the standard symbolic data sets have been conducted in order to study the efficacy of the proposed methodology

关键词： Clustering algorithms Symmetric matrices Data engineering Object oriented modeling pattern analysis image analysis pattern recognition image processing remote sensing Biomedical imaging

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Evaluation of holographic subsurface radar for NDE of space shuttle thermal protection tiles

Evaluation of holographic subsurface radar for NDE of space ...

引用

conference on Sensors and Systems for Space Applications

作者： Lu, Thomas Snapp, Cooper Chao, Tien-Hsin Thakoor, Anilkumar Bechtel, Tim Ivashov, Sergey Vasiliev, Igor NASA Jet Prop Lab Bioinspired Syst & Technol Grp Pasadena CA 91109 USA NASA Johnson Space Ctr Thermal Design Branch ES3 Houston TX USA Univ Penn Enviroscan Inc Philadelphia PA 19104 USA Bauman Moscow State Tech Univ Remote Sensing Lab Moscow Russia

ISBN: (纸本)9780819466778

Experiments have been carried out to evaluate holographic subsurface radar (RASCAN) for non-destructive evaluation (NDE) of subnominal bond conditions between the Space Shuttle Thermal Protection System tiles and the aluminum substrate. Initial results have shown detection of small voids and spots of moisture between Space Shuttle thermal protection tiles and underlying aluminum substrate. The characteristic feature of this device is the ability to obtain one-sided radar soundings/images with high sensitivity (detecting of wire of 20 micron and less in diameter), and high resolution (2 cm lateral resolution) in the frequency band of 3.6-4.0 GHz. JPL's advanced high-speed image processing and pattern recognition algorithms can be used to process the data generated by the holographic radar and automatically detect and measure the defects. Combining JPL's technologies with the briefcase size, portable RASCAN system will produce a simple and fully automated scanner capable of inspecting dielectric heat shielding materials or other spacecraft structures for cracks, voids, inclusions, delamination, debonding, etc.. We believe this technology holds promise to significantly enhance the safety of the Space Shuttle and the future CEV and other space exploration missions.

关键词： holographic radar non-destructive testing space shuttle thermal protection tile bonding

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A Knowledge Based Classification for Urban Mapping Using High Resolution remote sensing Data

A Knowledge Based Classification for Urban Mapping Using Hig...

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Proceedings of the Digital image Computing: Technqiues and Applications (DICTA)

作者： Xiao Yi Xiuping Jia David Tien School of Information Technology Charles Sturt University Bathurst NSW Australia School of Information Technology and Electrical Engineering University of New South Wales Campbell ACT Australia

ISBN: (纸本)9781424431618;9780769530673

This paper addresses the weakness of pixel based or cell-based classification algorithms for urban mapping. They cannot provide a handy object level classification results as often preferred in urban planning and assessment applications. A knowledge based approach is proposed which is integrated with the spectral classification methods and image processing tools. Experiments using a high resolution image were conducted. The results show the proposed method can improve the performances obtained by using the conventional maximum likelihood or ECHO algorithms. Key words: Knowledge based, Object attributes, classification.

关键词： remote sensing image resolution Australia Classification algorithms Urban planning Information technology Geographic Information Systems Spatial resolution Urban areas Layout

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Mallat fusion for multi-source remote sensing classification

Mallat fusion for multi-source remote sensing classification

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ISDA 2006: Sixth International conference on Intelligent Systems Design and Applications

作者： Dongdong, Cao Qian, Yin Ping, Guo IEEE Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing 100875 China

ISBN: (纸本)0769525288

The fusion of multi-source remote sensing data is to offer improved accuracies in land cover classification. The conventional fusion methods such as HIS and PCA can not enhance information and simultaneously preserve high fidelity. Thus, the fused image is not preferable for classification. In this paper, the multi-source remote sensing data fusion based on Mallat algorithm for classification is proposed. The purpose of fusion is to create a new image that is more suitable for recognition. The topic focuses on the pyramid decomposition and choosing coefficients in the fusion process. The performance of proposed method is assessed by statistical methods and its effectiveness also testified by classification accuracies. © 2006 IEEE.

关键词： remote sensing

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Shadow wolf: An algorithm for clarifying images collected through atmospheric fog, smoke and dust

Shadow wolf: An algorithm for clarifying images collected th...

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2006 International conference on image processing, Computer Vision, and pattern recognition, IPCV'06

作者： Pratt, Kevin B. Essex Corporation 1235 Evans Road Melbourne FL 32904 United States

ISBN: (纸本)9781932415957

We describe a new algorithm for enhancing texture in very low-contrast regions of an image. The result is a clarified image that retains the overall appearance of the original, but displays additional fine detail. A beneficial effect of the algorithm is the ability to see through atmospheric scattering, such as moderate fog, smoke and dust. It has application to remote sensing and is more effective than alternative approaches.

关键词： remote sensing

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Three-dimensional modeling for digital watershed on the Loess Plateau

Three-dimensional modeling for digital watershed on the Loes...

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2006 International conference on image processing, Computer Vision, and pattern recognition, IPCV'06

作者： Li, Yabin Gong, Jianhua Liu, Dan Wang, Weixing Wang, Daojun State Key Lab. of Remote Sensing Science Institute of Remote Sensing Applications CAS Datun Road Chaoyang District Beijing 100101 China Institute of Nautical Science and Technology Nautical College Dalian Maritime University Dalianl 16026 China

ISBN: (纸本)9781932415957

Two methods of grid based and image based modeling were put forward respectively to represent the landform of watersheds on the Loess Plateau, China. Many kinds of spatial data such as Digital Elevation Model (DEM), remote sensing (RS) images, and photos are utilized to establish the digital 3-D terrains of watersheds on the Loess Plateau, which provides 3-D virtual geographic environments for supporting regional planning, conservation of water and soil, ecological environment construction. With regard to the specific landscape of terraces, a new approach to model 3-D digital terrace is designed and implemented by analyzing Grid DEM and RS image.

关键词： Watersheds

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Perspectives on data compression for estimations from sensors

Perspectives on data compression for estimations from sensor...

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conference on Mathematics of Data/image pattern recognition, Compression and Encryption with Application IX

作者： Fowler, Mark L. Chen, Mo SUNY Binghamton Dept Elect & Comp Engn Binghamton NY 13902 USA

ISBN: (纸本)0819463949

Data compression methods have mostly focused on achieving a desired perception quality for multi-media data for a given number of bits. However, there has been interest over the last several decades on compression for communicating data to a remote location where the data is used to compute estimates. This paper traces the perspectives in the research literature for compression-for-estimation. We discuss how these perspectives can all be cast in the following form: the source emits a signal - possibly dependent on some unknown parameter(s), the i(th) sensor receives the signal and compresses it for transmission to a central processing center where it is used to make the estimate(s). The previous perspectives can be grouped as optimizing compression for the purpose of either (i) estimation of the source signal or (ii) the source parameter. Early results focused on restricting the encoder to being a scalar quantizer that is designed according to some optimization criteria. Later results focused on more general compression structures, although, most of those focus on establishing information theoretic results and bounds. Recent results by the authors use operational rate-distortion methods to develop task-driven compression algorithms that allow trade-offs between the multiple estimation tasks for a given rate.

关键词： data compression remote sensing sensor networks estimation

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Texture discrimination and analysis using optimized biorthogonal wavelet bases

Texture discrimination and analysis using optimized biorthog...

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3rd IASTED International conference on Signal processing, pattern recognition, and Applications

作者： Chaudhry, M. Ali Jafri, M.N. Mufti, M. Akbar, M. Electrical Engineering Dept. College of Signal National Univ. of Science and Technology Rawalpindi Pakistan Computer Engineering Dept. UET Taxila Pakistan

ISBN: (纸本)0889865477

In this paper, we propose a methodology for the optimal design of bi-orthogonal wavelet basis for maximum possible texture discrimination. The objective of this optimization process is to obtain maximum separation between local features of the texture image at different resolution scales. There are several applications which may not require reconstruction of signal from its transformed coefficients such as texture analysis, remote sensing, medical diagnostics etc. Therefore, for such applications, features are extracted at different frequency resolution scales and condition for perfect reconstruction can be relaxed. In this research work, we propose a methodology for the optimal design of bi-orthogonal wavelet bases. Our objective function is based on maximization of distinguishibility function involving the computation of finer details subject to some wavelet constraints. Classification results of optimized wavelet were compared with the existing maximally flat biorthogonal wavelet families which shows that the results obtained are superior in terms of texture discrimination.

关键词： image processing

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Algorithm based on symmetry for locating the finder pattern of the QR code

Algorithm based on symmetry for locating the finder pattern ...

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14th International conference on Geoinformatics

作者： Hu Donghong Chen Xinmeng Yu Dan Liu Weina Mei Bin Wuhan Univ Comp Sch Wuhan 430072 Peoples R China Hubei Univ Fac Phys & Elect Technol Wuhan 430062 Peoples R China

ISBN: (纸本)9780819465290

The symbology of the QR Code and the traditional techniques for recognizing the finder pattern of the QR Code were introduced and the disadvantages of these techniques were analyzed. Based on the symmetry of the finder pattern of the QR Code, an algorithm for locating the center of the finder pattern was proposed. By this algorithm, the center of the finder pattern of the QR Code can be located accurately even though one module of the QR Code image occupies only 2.8 pixels or the image is skewed seriously or the image is illuminated not uniformly.

关键词： image processing pattern recognition 2D barcode symmetry

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Semiautomatic extraction of building information and variation detection from high resolution remote sensing images

Semiautomatic extraction of building information and variati...

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14th International conference on Geoinformatics

作者： Wang, Yonggang Liu, Huiping Beijing Normal Univ Sch Geog Res Ctr Remote Sensing Beijing 100875 Peoples R China Beijing Normal Univ GIS State Key Lab Remote Sensing Sci Beijing 100875 Peoples R China

ISBN: (纸本)9780819465283

This paper focuses on the problem of semiautomatic extraction of building information from high-resolution satellite images covering urban areas. This information includes buildings height, 2-D structure, and variation detection. An increasing number of applications require accurate and up-to-date cartographic and 3-D data. We introduce a set of accurate and automatic algorithms based on high-resolution remote sensing imagery such as Quickbird. Our method exploits the relationship between buildings height and their shadow in satellite images. Firstly we use our multiple-restriction method to extract the shadow information. Then we can adopt their relationship to compute building height information. In the process of building 2-D information extraction we introduce a new method about morphology used to do edge detection. After that we utilize the methods including image processing, image analyzing, and pattern recognition to detect building 2-D structure. Based on the statistical skewness of image we introduce the conception of variation coefficient. Using this algorithm we can make sure the geographic position of variation detection easily and quickly. Our method involves thresholds, most of them tuned with respect to practical situation and the physical characteristics of the image. Results are shown and discussed on different images.

关键词： high resolution image building information variation detection extraction

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