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检索条件"任意字段=Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications XI"

共 56 条记录，以下是31-40 订阅

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A wavelet-based remote sensing image coding for noisy channels

A wavelet-based remote sensing image coding for noisy channe...

引用

MIPPR 2009 - Remote Sensing and GIS data Processing and Other applications: 6th International Symposium on Multispectral image Processing and pattern recognition

作者： Wu, Jiaji Qi, Jingchun Jiao, Licheng Shi, Guangming IPIU Key Lab. of Ministry of Education of China Xidian University Xi'an 710071 China

ISBN: (纸本)9780819478092

We propose a joint source and channel remote sensing image compression system for image transmission over Binary Symmetric Channels (BSC). As an effective wavelet-based compression scheme, Set Partitioned Embedded Block Coder (SPECK) is quite fragile against bit errors in noisy channels. To avoid the failure caused by the loss of synchronization and the error propagation, we improve the error resilience of SPECK with an acceptable degradation of quality. The novel packets division permits to continue reconstructing image when uncorrectable errors occur. The system makes full use of the bit-stream and the simulations show the scheme is better than an Equal Error Protection scheme (EEP) and a Unequal Error Protection scheme (UEP). © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： image coding

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Laplacian pyramid-based downsampling combined with directionlet interpolation for low-bit rate compression

Laplacian pyramid-based downsampling combined with direction...

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MIPPR 2009 - Remote Sensing and GIS data Processing and Other applications: 6th International Symposium on Multispectral image Processing and pattern recognition

作者： Wu, Jiaji Lee, Dong Jiao, Licheng Shi, Guangming School of Electronic Engineering Xidian University Xi'an 710071 China

ISBN: (纸本)9780819478092

We proposed a novel framework on how to improve the compression performance through the idea related to the decreased spatial resolution down-sampled by the LP (Laplacian Pyramid) transform, and only code the low-pass band. Before being compressed, our method intentionally down-sampled the image as part of the pre-processing step, and then applies the directionlet interpolation as post-processing step of the compressed image. At low bit-rates an appropriately down-sampled image compressed using multi-codec and later interpolated via directionlet, can be visually and objectively better than the image compressed directly with the codec scheme at the same number of bits. Down-sampling and up-sampling play a key role in our proposed novel code means which support spatial scalability. This scheme can be utilized to efficiently optimize the overall quality of the reconstructed image, especially the rich textures or edges preservation. We compared with the conventional JPEG2000 coding method and showed our framework can get comparable good results at low bit rate and is independent with the coding method. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Interpolation

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Research on quality assessment model for data compression of stereo mapping satellite imagery

Research on quality assessment model for data compression of...

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MIPPR 2009 - Remote Sensing and GIS data Processing and Other applications: 6th International Symposium on Multispectral image Processing and pattern recognition

作者： Li, Shizhong Chen, Zhe Gu, Xuemai Zhao, Fei Liu, xiaofeng Jia, Peng School of Astronautics Harbin Institute of Technology Harbin Heilongjiang 150001 China School of Information Institute Chang'an University Xi'an Shannxi 710064 China Beijing Institute of Tracking and Tel-communication Technology Beijing 100094 China

ISBN: (纸本)9780819478092

Peak signal-to-noise ratio (PSNR) is commonly used as an objective metric in evaluating image quality. However, PSNR can not reflect the visual perception distortion, especially for the stereo image in mapping. Meanwhile, the subjective evaluation methods have great uncertainty. So, how to make correct, effective and repeatable evaluation for the stereo mapping imagery is still a problem to be resolved. From the aspect of practical mapping application for the stereo surveying and mapping satellite imagery, a multidimensional model for evaluating the stereo imagery compression quality is presented in this paper. A new quality assessment index is proposed for decompressed image based on the model, and by using it, the quality of imagery compressed /decompressed by JPEG and JPEG 2000 algorithm is evaluated. Experiment results show that using this method can get better consistency with the result from the human visual perception, and has high correlation with the method of mean opinion score(MOS), superior to the method of using PSNR. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Mapping

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Introduction to part A: Conference on mathematics of image/data pattern coding, compression, and encryption with applications xiI

Proceedings of SPIE - The International Society for Optical ...

引用

Proceedings of SPIE - The International Society for Optical Engineering 2009年 7444卷 ix-xi页

作者： Schmalz, Mark S. Ritter, Gerhard X. CBarrera, Junior Astola, Jaakko T.

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Study and application on the CCSDS-based channel coding technique for the data transmission of compressed remote sensing image

Study and application on the CCSDS-based channel coding tech...

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MIPPR 2009 - Remote Sensing and GIS data Processing and Other applications: 6th International Symposium on Multispectral image Processing and pattern recognition

作者： Li, Shizhong Gu, Xuemai Zhao, Fei Li, Yunsong Jia, Peng School of Astronautics Harbin Institute of Technology Harbin Heilongjiang 150001 China Beijing Institute of Tracking and Tel-communication Technology Beijing 100094 China State Key Laboratory of Integrated Service Networks Xidian University Xi'an Shaanxi 710071 China

ISBN: (纸本)9780819478092

With the development of spatial, temporal and spectral resolution of remote satellite imagery, the data acquired in the orbit must be compressed to meet the requirement of the real-time data downlink transmission. When the satellite data are transmitted in the downlink space channel, error code may be produced as a result of external interference. The error code will cause serious diffusion problem for the transmission of compressed data. According to the principle of the error control encoding and decoding, as well as the corresponding recommends of consultative committee for space data systems (CCSDS), a set of error control algorithm and scheme is proposed to satisfy the requirement of remote sensing satellite data transmission, combining the data compression practice. The emulation experiments show that the method is effective for preventing and reducing the error diffusion, so as to provide reliable data for the technique processing in the fields of remote sensing. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Signal to noise ratio

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Impact of signal model on data compression for TDOA/FDOA emitter location

Impact of signal model on data compression for TDOA/FDOA emi...

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Conference on mathematics of data/image pattern recognition, compression, Coding, and encryption X, with applications xi

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

ISBN: (纸本)9780819472953

Early work in source location using time-difference-of-arrival/frequency-difference-of-arrival (TDOA/FDOA) focused on locating acoustic sources while later work focused on locating electromagnetic sources. The key difference is the signal model assumptions: WSS Gaussian process is widely used in the acoustic case but is not appropriate in the electromagnetic case. The Fisher information (FI) is fundamentally different for the two scenarios and leads to different distortion metrics for data compression algorithms that seek to maximize the F1 for a given data rate. We discuss the philosophical impacts of this relevant to the following question: having collected a single of data and wanting to do the best "job" for that data, should it matter if the data is viewed as coming from a WSS random process? This work shows that one must be careful when using a random signal model. If one takes the operational rate-distortion view, the goal of compression is to adapt the algorithm to the specific data observed. This is a modern view that contrasts with classical rate-distortion where the distortion measure includes an averaging over the ensemble. We assert that for the operational rate-distortion approach with FI as distortion measure, one should not use a random signal model.

关键词： data compression Sensor Networks TDOA/FDOA Emitter Location Fisher Information

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data compression in emitter location systems via sensor pairing and selection

Data compression in emitter location systems via sensor pair...

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Conference on mathematics of data/image pattern recognition, compression, Coding, and encryption X, with applications xi

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

ISBN: (纸本)9780819472953

data compression ideas can be extended to assess the data quality across multiple sensors to manage the network of sensors to optimize the location accuracy subject to communication constraints. From an unconstrained-resources viewpoint it is desirable to use the complete set of deployed sensors;however, that generally results in an excessive data volume. We have previously presented here results on selecting pre-paired sensors. We have now extended Our results to enable optimal joint pairing/selection of sensors. Pairing and selecting sensors to participate in sensing is crucial to satisfying trade-offs between accuracy and time-line requirements. We propose two methods that use Fisher information to determine sensor pairing/selection. The first method optimally determines pairings as well as selections of pairs but with the constraint that no sensors are shared between pairs. The second method allows sensors to be shared between pairs. In the first method, it is simple to evaluate the Fisher information but is challenging to make the optimal selections of sensors. However, the opposite is true in the second method: it is more challenging to evaluate the Fisher information but is simple to make the optimal selections of sensors.

关键词： Sensor Selection Sensor Management data compression Sensor Networks TDOA/FDOA Emitter Location Fisher Information

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Proceedings of SPIE - mathematics of data/image pattern recognition, compression, Coding, and encryption X, with applications

Proceedings of SPIE - Mathematics of Data/Image Pattern Reco...

引用

mathematics of data/image pattern recognition, compression, Coding, and encryption X, with applications

ISBN: (纸本)9780819468482

The proceedings contain 18 papers. The topics discussed include: model based compression of the calibration matrix for hyperspectral imaging systems;optimization of a lossless object-based compression embedded on GAIA a next-generation space telescope;design of multichannel filter banks for subband coding of audio signals using multirate signal processing techniques;the optimum running-type approximation for time-limited worst-case measures of error based on Fredholm integral equation using Pincherle-Goursat kernel;adaptive model and neural network based watermark identification;compressed versus uncompressed domain video watermarking;generation of lattice independent vector sets for pattern recognition applications;and the validity of pyramid k-means clustering.

关键词： pattern recognition

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mathematics of data/ image pattern recognition, compression, Coding, and encryption X, With applications

Mathematics of Data/ Image Pattern Recognition, Compression,...

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2007年

作者： Gerhard X Ritter Mark Steven Schmalz Junior Barrera Jaakko T Astola

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Generation of lattice independent vector sets for pattern recognition applications

Generation of lattice independent vector sets for pattern re...

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Conference on mathematics of data/image pattern Recongnition, compression, Coding, and encryption X, with applications

作者： Urcid-S., Gonzalo Valdiviezo-N., Juan-Carlos INAOE Dept Opt Puebla 72000 Mexico

ISBN: (纸本)9780819468482

Lattice independence and strong lattice independence of a set of pattern vectors are fundamental mathematical proper-ties that lie at the core of pattern recognition applications based on lattice theory. Specifically, the development of morphological associative memories robust to inputs corrupted by random noise are based on strong lattice independent sets, and real world problems, such as, autonomous endmember detection in hyperspectral imagery, use auto-associative morphological memories as detectors of lattice independence. In this paper, we present a unified mathematical framework that-develops the relationship between different notions of lattice independence currently used in the literature. Computational procedures are provided to test if a given set of pattern vectors is lattice independent or strongly lattice independent;in addition, different techniques are fully described that can be used to generate sets of vectors with the aforementioned lattice properties.

关键词： lattice associative memories lattice independence morphological neural networks

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