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IEEE International conference on Networking, sensing and Control

作者： Xinyu Chen Michael R. Lyu Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China Department of Computer Science and Engineering Chinese University of Hong Kong Sha Tin Hong Kong China

In wireless sensor networks, to obtain a long network lifetime is a fundamental issue while without sacrificing crucial aspects of quality of service (area coverage, sensing reliability, and network connectivity). In this paper, we present a Voronoi-based sleeping configuration to deal with different sensing radii and location error. With our proposed sleeping candidate condition, redundant sensors are optionally identified and scheduled to sleep in order to extend the system lifetime while maintaining adequate sensor redundancy to tolerate sensor failures, energy depletions, and location error. Simulation results show that there is a tradeoff among energy conservation, area coverage, and fault tolerance, which varies between different sleeping candidate conditions.

关键词： Wireless sensor networks Sensor systems Surveillance Quality of service Redundancy Energy conservation Fault tolerance Sensor phenomena and characterization Batteries image processing

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Detecting residential regions in satellite images using local features and graph matching

Detecting residential regions in satellite images using loca...

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IEEE Signal processing and Communications Applications (SIU)

作者： Beril Sirmacek Cem Unsalan Elektrik ve Elektronik Mühendisliği Bölümü Yeditepe Üniversitesi İstanbul

Local invariants are powerful tools to recognize objects in an image under transformations. In this study, we propose a novel method to detect residential regions by using local SIFT (scale invariant feature transform) features in satellite images. For this purpose, we construct graphs using image features as nodes and their neighborhoods as edges. We then match the extracted graphs with the ones in our database. Our method is able to detect various residential regions.

关键词： Feature extraction remote sensing Satellites Transforms Object recognition Computer vision Lighting

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Investigating how and when perceptual organization cues improve boundary detection in natural images

Investigating how and when perceptual organization cues impr...

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IEEE Computer Society conference on Computer Vision and pattern recognition Workshops (CVPRW)

作者： Leandro A. Loss George Bebis Mircea Nicolescu Alexei Skurikhin Computer Vision Laboratory University of Nevada Reno USA Space and Remote Sensing Sciences Los Alamos National Laboratory USA

Boundary detection in natural images represents an important but also challenging problem in computer vision. Motivated by studies in psychophysics claiming that humans use multiple cues for segmentation, several promising methods have been proposed which perform boundary detection by optimally combining local image measurements such as color, texture, and brightness. Very interesting results have been reported by applying these methods on challenging datasets such as the Berkeley segmentation benchmark. Although combining different cues for boundary detection has been shown to outperform methods using a single cue, results can be further improved by integrating perceptual organization cues with the boundary detection process. The main goal of this study is to investigate how and when perceptual organization cues improve boundary detection in natural images. In this context, we investigate the idea of integrating with segmentation the iterative multi-scale tensor voting (IMSTV), a variant of tensor voting (TV) that performs perceptual grouping by analyzing information at multiple-scales and removing background clutter in an iterative fashion, preserving salient, organized structures. The key idea is to use IMSTV to post-process the boundary posterior probability (PB) map produced by segmentation algorithms. Detailed analysis of our experimental results reveals how and when perceptual organization cues are likely to improve or degrade boundary detection. In particular, we show that using perceptual grouping as a post-processing step improves boundary detection in 84% of the grayscale test images in the Berkeley segmentation dataset.

关键词： image segmentation Tensile stress Voting Computer vision Psychology Humans Performance evaluation Brightness TV Information analysis

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image change detection for a Personal Rapid Transit application

Image change detection for a Personal Rapid Transit applicat...

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European Signal processing conference (EUSIPCO)

作者： Alan Peters Torquil Ross-Martin Alin M. Achim Department of Electrical & Electronic Engineering University of Bristol UK Advanced Transport Systems Ltd. Thornbury Bristol UK

Automatically identifying objects and people left in the interior of vehicles is highly desirable because human monitoring has high running costs and low efficiency associated with it. A new Personal Rapid Transit (PRT) system currently being designed by Advanced Transport Systems Ltd (ATS) features many autonomous vehicles and therefore the task is of particular importance. This paper describes two approaches that use changes in the visual image of the interior to predict the likelihood of left objects and remaining people. The first approach is based on identifying structural differences. The second approach uses a shading model method. A variation of the shading model with information from the colour channels is also described. The results show that the modified shading model approach gives the best performance.

关键词： Vehicles Lighting image color analysis Cameras remote sensing Object recognition Signal processing algorithms

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A Classification Enhancement in Hyperspectral imagery Using Superresolution Technique

A Classification Enhancement in Hyperspectral Imagery Using ...

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9th International conference on Signal processing(第九届国际信号处理学术会议)(ICSP'08)

作者： Fereidoun A.Mianji Ye Zhang Mirshahram Hosseinipanah School of Electronics and Information Engineering Harbin Institute of Technology Harbin-150001China

In this paper an improved supervised classification technique through applying a superresolution method on remotely sensed hyperspectral images is *** methods provide high-resolution images from a sequence of low-resolution *** the proposed technique,classification of the hyperspectral image is carried out using spectrally homogenous training classes of *** spatial resolution frames of different wavelengths of the hyperspectral image are fed to a quadratic programming based classification algorithm to enhance the spatial resolution of the classification *** results show a better classification and an edge *** recognition is the main field which can benefit from this technique.

关键词： remote sensing Supervised classification Superresolution Hyperspectral imagery Quadratic programming Target recognition

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A Classification Enhancement in Hyperspectral imagery Using Superresolution Technique

A Classification Enhancement in Hyperspectral Imagery Using ...

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2008 9th International conference on Signal processing(ICSP’2008)

作者： Fereidoun A.Mianji Mirshahram Hosseinipanah School of Electronics and Information Engineering Harbin Institute of Technology Harbin-150001China

关键词： remote sensing,Supervised classification,Superresolution,Hyperspectral imagery,Quadratic programming,Target recognition

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A Semi‐Automated Geological Model from remotely Sensed Data for GIS Mapping and Analysis

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AIP conference Proceedings 2008年第1期1009卷 189-199页

作者： A. Dadon A. Peeters A. Karnieli E. Ben‐Dor aThe Remote Sensing Laboratory Jacob Blaustein Institutes for Desert Research Ben‐Gurion University of the Negev Israel bThe Desert Architecture and Urban Planning Unit Department of Man in the Desert cThe Remote Sensing and GIS Laboratory Department of Geography Tel Aviv University Israel

The option to introduce spaceborne data that enables to recognize spatial patterns, to enhance ground‐collected data, to acquire high‐resolution spatial and spectral data, and to incorporate this data into a Geographic Information Systems (GIS), has been recently recognized and used by the geological research community. The current paper presents the development of a semi‐automated model for geological mapping and 3D geodata investigation based on a set of image processing and GIS techniques. The aim of the developed methodology is to extract lithological and structural information by combining geological object recognition of hyperspectral spaceborne data and GIS data mining and analysis. Input data consist of a Digital Terrain Model (DTM) and a hyperspectral satellite image. These data serve as the basis for a supervised classification of the geological units and for extracting geostructural data in order to construct a 3D database of the area's geology. The output is stratigraphic information (such as dip and strike) that can be used for mapping and constructing 2.5D/3D models of the subsurface or, in conjunction with additional thematic layers, for geological spatial analysis.

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Authentication scheme based on principal component analysis for satellite images

International Journal of Signal Processing, Image Processing...

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International Journal of Signal processing, image processing and pattern recognition 2008年第3期2卷 1-10页

作者： Helmy, Ashraf K. El-Taweel, G.H.S. National Authority of Remote Sensing and Space Sciences Cairo Egypt Faculty of Computers and Informatics Sues Canal University Ismailia Egypt

This paper presents a multi-band wavelet image content authentication scheme for satellite images by incorporating the principal component analysis (PCA). The proposed scheme achieves higher perceptual transparency and stronger robustness. Specifically, the developed watermarking scheme can successfully resist common signal processing such as JPEG compression and geometric distortions such as cropping. In addition, the proposed scheme can be parameterized, thus resulting in more security. That is, an attacker may not be able to extract the embedded watermark if the attacker does not know the parameter. In an order to meet these requirements, the host image is transformed to YIQ to decrease the correlation between different bands, Then Multi-band Wavelet transform (M-WT) is applied to each channel separately obtaining one approximate sub band and fifteen detail sub bands. PCA is then applied to the coefficients corresponding to the same spatial location in all detail sub bands. The last principle component band represents an excellent domain for inserting the water mark since it represents lowest correlated features in high frequency area of host image. One of the most important aspects of satellite images is spectral signature, the behavior of different features in different spectral bands, the results of proposed algorithm shows that the spectral stamp for different features doesn't tainted after inserting the watermark.

关键词： Principal component analysis

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image Denoising Based on Improved Adaptive Directional Lifting Wavelet Transform

Image Denoising Based on Improved Adaptive Directional Lifti...

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2008 9th International conference on Signal processing(ICSP’2008)

作者： Xiao-tian Wang School of Electronic Engineering,Xidian University Xi'an 710071,P.R.China Guang-ming Shi School of Electronic Engineering,Xidian University Xi'an 710071,P.R.China Yi Niu School of Electronic Engineering,Xidian University Xi'an 710071,P.R.China

In this paper we propose a new denoising technique based on improved adaptive directional lifting wavelet transform(ADL).Using this method can separate noise from image signal distinctly by the extraordinary ability of ADL to represent the edges and ***,in the smooth regions of a noisy image,ADL is expensive and ***,we construct the ADL in an anti-noise way based on pixel pattern *** with the traditional ADL for image compression,there is no restriction of side-information,so the optimal strategies of direction determination and transformation can be selected by the judgment of different pixel *** results show that the proposed technique outperforms traditional wavelet and lifting scheme in both PSNR and visual quality,especially for the images with rich texture features such as remote sensing images.

关键词： image ADL image Denoising Based on Improved Adaptive Directional Lifting Wavelet Transform Wavelet

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Descriptive experiment design unified with worst-case performance optimization-adapted regularization for high-resolution radar/SAR imaging

Descriptive experiment design unified with worst-case perfor...

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IEEE National conference on Radar

作者： Yuriy V. Shkvarko CINVESTAV Guadalajara Mexico

This paper considers the problem of high-resolution imaging of the environment formalized in terms of a nonlinear ill-posed inverse problem of nonparametric estimation of the power spatial spectrum pattern (SSP) of the wavefield scattered from an extended remotely sensed scene (referred to as the scene image) via processing the discrete measurements of a finite number of independent realizations of the observed degraded radar data signals (one realization of the trajectory signal in the case of SAR). The model-level uncertainties are associated with unknown statistics of perturbations of the signal formation operator (SFO) in turbulent environment. The system-level uncertainties are attributed to the imperfect array calibration, finite dimensionality of measurements, uncontrolled antenna vibrations and random carrier trajectory deviations in the case of SAR. An effective method for SSP reconstruction is therefore proposed by incorporating into the minimum risk (MR) nonparametric spectral estimation strategy the experiment design-motivated constraints of SSP observability/identifiability for the finite-dimensional range continuous-to-discrete SFO algorithmically coupled with descriptive experiment design regularization (DEDR) and unified with worst-case statistical performance optimization approach. The MR objective functional is constrained by this information, and the robust DEDR reconstruction operator applicable to the scenarios with the low-rank uncertain estimated data correlation matrices is found. We also show how this algorithm may be considered generalization of the robust MVDR and the regularized inverse spatial filtering techniques. The efficiency of the developed technique is illustrated via numerical simulations.

关键词： Design optimization Radar imaging Radar polarimetry Radar remote sensing Radar scattering Layout Signal processing Vibration measurement image reconstruction Algorithm design and analysis

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