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检索条件"主题词=Change detection algorithms"

共 1584 条记录，以下是341-350 订阅

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change detection of a Subset of High-dimensional Time Series Data in Sensor Networks

Change Detection of a Subset of High-dimensional Time Series...

引用

IEEE Vehicular Technology Conference

作者： Ido Nevat Sai Ganesh Nagarajan Pengfei Zhang TUMCREATE Singapore Singapore University of Technology and Design (SUTD) Singapore Department of Engineering Science University of Oxford UK

We develop a new algorithm for change detection in sensor networks. We consider a general case where a network of sensors monitors the environment and sends observations to a Fusion Centre (FC). At an unknown time instant, the distribution of the observations of a subset of the sensor changes simultaneously. The objective is twofold: 1) detect which sensors have changed;and 2) estimate the time of the change. To this end we develop the Maximum A-Posteriori (MAP) estimator which involves solving an optimization problem via a combinatorial search that is computationally heavy. We overcome this problem by reformulating the deterministic optimization problem as a stochastic one, which then can be solved efficiently via the Cross Entropy (CE) method, with only a minor performance degradation, compared with the optimal brute-force solution. Simulation results demonstrate the efficiency of our algorithm in solving the joint estimation problem.

关键词： Optimization change detection algorithms Markov processes Entropy Estimation Probability density function

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change detection Using Original and Fused Landsat and Worldview Images

Change Detection Using Original and Fused Landsat and Worldv...

引用

IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)

作者： Chiman Kwan Jerry Yang Bryan Chou Applied Research LLC Rockville USA

ISBN: (纸本)9781728138862

In this paper, we present some preliminary results on change detection using satellite images. We first present a change detection framework that incorporates multiple change detection algorithms. A number of change detection maps, including normalized difference of vegetation index (NDVI), nonhomogeneous feature difference (NFHD), global Reed-Xiaoli (GRX), chronochrome (CC), etc. are integrated to generate the final change map. We then present an algorithm to fuse low spatial resolution but high temporal Landsat and high spatial resolution but low temporal resolution Worldview images. Finally, we compare change detection results using pure Landsat images, pure Worldview images, and fused images. Our results indicate that there is definitely some advantages in using fused images for change detection. It was observed that change maps based on the fused images are slightly better than that of using the pure Landsat images and are worse than the pure Worldview images maps. Consequently, more research is needed in generating high quality fused images so that change detection using fused images can be further improved.

关键词： geophysical image processing image fusion image resolution vegetation vegetation mapping images vegetation mapping image resolution image fusion normalized difference vegetation index change detection algorithms vegetation Spatial resolution Landsat satellites ORIGINAL maps Landsat images

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A temporal-BRDF model-based approach to change detection

A temporal-BRDF model-based approach to change detection

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： L. Rebelo P. Lewis D.P. Roy Department of Geography University College London UK Department of Geography University of Maryland NASA Goddard Space Flight Center Greenbelt MD USA

Remote Sensing provides the only practical means to monitor changes over large areas. This paper describes the development of a generic algorithm designed to map the temporal occurrence and spatial extent of areas exhibiting sudden change. The algorithm is demonstrated here applied to the problem of mapping fire-affected areas. The research further develops the work of, which implemented a bi-directional reflectance (BRDF) model-based change detection algorithm to map the approximate day and location of burning, using daily 500 m MODIS surface reflectance data. An original algorithm assumption is that the surface state remains static prior to the changes of interest. This is problematic in the presence of underlying change (for example, due to vegetation phenology) especially when there are missing and/or cloudy data. In an attempt to deal with this issue, an additional kernel has been added to the BRDF model in the form of a cubic function of time. In addition, a step function kernel has been introduced in order to more robustly detect step-like changes. These modifications and preliminary results over southern Africa using daily MODIS land surface reflectance data are presented

关键词： change detection algorithms Reflectivity Land surface Remote monitoring MODIS Kernel Algorithm design and analysis Bidirectional control detection algorithms Vegetation mapping

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An enhanced architecture and algorithm for web page change detection

An enhanced architecture and algorithm for web page change d...

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International Conference on Information Systems and Computer Networks (ISCON)

作者： Naveen Kumar Varshney Dilip Kumar Sharma Department of CEA GLA University Mathura India

ISBN: (纸本)9781467359870

Internet has become very effective way for exchange the information widely. Because of fast changes in the information of the web pages, it has become very necessary to develop a system which can detect changes in the minimum browsing time. The web page change detection system provides the mechanism to detect the changes in the web by using crawler and gives the notification to the user to compare the old and modified pages. In this paper a new algorithm is presented for content changes and structural changes and also presents architecture for web page change detection system. It presents the Text Code for content changes to use the position value of every character in the content and also presents the signature value for structural changes.

关键词： Web pages change detection algorithms Crawlers Service-oriented architecture HTML Computer architecture XML

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change detection and Tracking using Synthetic Aperture Radar Videos

Change Detection and Tracking using Synthetic Aperture Radar...

引用

International Conference on Information Technology Research (ICITR)

作者： Hasara Maithree Dilan Dinushka Adeesha Wijayasiri University of Moratuwa Moratuwa Sri Lanka

In this paper, a change detection technique which can be utilized in identifying important changes in SAR videos has been proposed. Even though most researches have done on change detection in multi temporal SAR images, implementing a methodology to identify changes in SAR videos in a near real time manner has unique challenges such as the inherent speckle noise which will increase the false positive rate of the detection, rotation of the reconstructed SAR video frames due to the movement of the airborne vehicle, dynamic background and the overlapping of the area in consecutive video frames, non-uniform backscattering of SAR pulses and shadowy modelling of objects in video frames which doesn't provide much information about the appearance model of the objects. We propose an algorithm based on combination of optical flow calculation using Lucas Kanade method(LK method) and blob detection to detect the changes, and we feed the detected changes along with optical flow calculations to a centroid tracking algorithm to track the detected changes throughout the video.

关键词： change detection algorithms Atmospheric modeling Speckle Radar tracking Real-time systems Vehicle dynamics Synthetic aperture radar

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GENERALIZED MINIMUM-ERROR THRESHOLDING FOR UNSUPERVISED change detection FROM MULTILOOK POLARIMETRIC SAR DATA

GENERALIZED MINIMUM-ERROR THRESHOLDING FOR UNSUPERVISED CHAN...

引用

IEEE International Geoscience and Remote Sensing Symposium

作者： Mohsen Ghanbari Vahid Akbari Faculty of Geodesy and Geomatics Eng. K.N.Toosi University of Technology Department of Physics and Technology UiT- The Arctic University of Norway

ISBN: (纸本)9781479979301

In this paper, we propose a robust unsupervised change detection algorithm for multilook polarimetric synthetic aperture radar (PolSAR) data. The Hotelling-Lawley trace (HLT) statistic is used as a test statistic to measure the similarity of two covariance matrices. The generalized Kittler and Illing-worth (K&I) minimum-error thresholding algorithm based on the generalized gamma function is then applied on the test statistic image to accurately discriminate changed and un-changed areas. Experiment on real PolSAR data set demonstrates the accuracy of the proposed change detection method.

关键词： change detection SAR polarimetry Kittler and Illingworth thresholding Hotelling-Lawley trace statistic GAMMA FUNCTIONS change detection algorithms Polarimetric synthetic aperture radar inspection methods Rescue Synthetic aperture radar Specific absorption rate SAFETY ANALYSIS REPORTS WWOX gene

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change detection by Level (CDL): An efficient algorithm to detect change on XML documents

Change Detection by Level (CDL): An efficient algorithm to d...

引用

International Conference on Computer Sciences and Convergence Information Technology (ICCIT)

作者： Claudio Gutiérrez-Soto Alejandro Barra Andrés Landaeta Angélica Urrutia Universidad del Bío-Bío Chile Universidad Católica del Maule Chile

Nowadays XML have reached a great interest, because it is possible to share information through the Web. Moreover, the Web can be conceived as a huge Database. Therefore, like DBMS traditional, the Web needs efficient algorithms to detect changes on the Database. In this paper we present an efficient algorithm to detect change in XML documents. Algorithm efficiency resides in the efficient application of Hash function and how this information is used. The theoretical complexity of algorithm is O(nlogn+ e G ), where n is the number of vertices and e G is the cost to check all edges. The proposed algorithm was compared with X-Diff algorithm in order to show the new algorithm performance. Experimental results show a much better performance of CDL algorithm.

关键词： XML Algorithm design and analysis change detection algorithms Complexity theory Databases Cost function Image edge detection

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Multitemporal image change detection with compressed sparse representation

Multitemporal image change detection with compressed sparse ...

引用

IEEE International Conference on Image Processing

作者： Leyuan Fang Shutao Li Jianwen Hu College of Electrical and Information Engineering Hunan University Changsha China

In this paper, we propose a novel feature vector clustering method for unsupervised change detection in multitemporal satellite images. A feature vector for each pixel is extracted using the compressed sparse representation of the difference image which is obtained by comparing a pair of co-registered images acquired at different times on the same area. The compressed sparse representation is achieved by taking two stages: compressed sampling and sparse representation. The compressed sampling is first employed in order to reduce the dimensionality of the feature vectors. Then, the sparse representation is applied to extract the meaningful change information and to combat the noise interference. The final change detection is obtained by clustering the extracted feature vectors using k-means algorithm into “changed” and “unchanged” classes. Experimental results clearly show that the proposed approach consistently yields superior performance compared to several well-known change detection techniques on both noise-free and noisy satellite images.

关键词： Vectors Image coding Feature extraction Noise Dictionaries change detection algorithms Satellites

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Biologically Inspired Posture Recognition and Posture change detection for Humanoid Robots

Biologically Inspired Posture Recognition and Posture Change...

引用

2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)

作者： Michael Spranger Sebastian H(o)fer Manfred Hild Sony CSL Paris 6 rue Amyot75005 ParisFrance Neurobotics Research Laboratory Computer Science DepartmentHumboldt-Universit(a)t zu BerlinBerlin

ISBN: (纸本)9781424447749

This paper presents a biologically inspired approach to posture recognition and posture change detection for a biped robot. Slow Feature Analysis, an algorithm developed by theoretical biologists for extracting slowly changing signals from signals varying on a fast time scale, is applied to the problem of recognizing the posture of biped humanoid robots over time and successively on the recognition of the change posture. Both the recognition of basic static postures, like lying and standing, of peer robots via visual sensory information and the recognition of the same postures via internal proprioceptive sensors are considered. Given promising results in this domain we extend the application of the method onto the dynamic domain of detecting the change of posture, *** we show the utility of the algorithm for detecting when a robot falls.

关键词： Humanoid robots change detection algorithms Algorithm design and analysis Human robot interaction Cognitive robotics Robot sensing systems Legged locomotion Data mining Biomimetics Signal analysis

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Image change detection Algorithm Based on Clustering Characteristic of 2-D Histogram

Image Change Detection Algorithm Based on Clustering Charact...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： J. Zhang W. Sun W. Tang Department of Information Engineering Harbin Institute of Technology Harbin China Department of Optical-electronic Information Engineering Harbin Institute of Technology Harbin China

In this paper, a novel image change detection algorithm based on clustering characteristic of 2-D histogram formed by pixel gray levels and the local average gray levels is proposed. First, the 2-D histogram is segmented into two initial clusters representing change region and unchanged region respectively by using classical segmentation method. Then, the traditional 2-D maximum entropy principle is improved properly to adjust the initial clusters. Finally, changes are detected according to the two relative more accurate clusters that have been adjusted. Theoretical analysis and experimental results show that the proposed algorithm has more accurate detection precision, stronger anti-noise capability and faster computation than traditional 2-D maximum entropy algorithm.

关键词： detection algorithms Histograms Pixel change detection algorithms Entropy Image segmentation Optical noise Image analysis Clustering algorithms Condition monitoring

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