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检索条件"主题词=change detection algorithms"

共 1587 条记录，以下是521-530 订阅

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Spectral clustering based unsupervised change detection in SAR images

Spectral clustering based unsupervised change detection in S...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Xiangrong Zhang Zemin Li Biao Hou Licheng Jiao Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an China

An unsupervised change detection method based on spectral clustering and difference image methods for multitemporal single-channel single-polarization synthetic aperture radar (SAR) images is proposed. The difference image is generated by integrating the typical difference image method with Non-Local Filter, which exploits both the spatial neighborhood information and gray similarity information, and can well reduce the speckle noises of SAR images. The spectral clustering algorithm is employed to cluster the difference image into two clusters and get the change map. Compared with traditional clustering algorithms, such as A-means, SC can recognize the clusters of unusual shapes and obtain the globally optimal solutions. Experimental results confirm the effectiveness of the proposed techniques.

关键词： Clustering algorithms Remote sensing Principal component analysis change detection algorithms Synthetic aperture radar Sensors Noise

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Unsupervised change detection in Multispectral Images based on Independent Component Analysis

Unsupervised Change Detection in Multispectral Images based ...

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IEEE International Workshop on Imaging Systems and Techniques (IST)

作者： M. Ceccarelli A. Petrosino Research Center on Software Technologies-RCOST University of Sannio Benevento Italy Department of Applied Science University Parthenope of Naples Naples Italy

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Effect of Different Spatial Resolutions of Multi-temporal Satellite Images change detection Application

Effect of Different Spatial Resolutions of Multi-temporal Sa...

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International Conference on Innovative Trends in Computer Engineering (ITCE)

作者： Abdelrahman Yehia Hassan Elhifnawy Mohammed Safy Department of Electrical Engineering Military Technical College Cairo Egypt Department of Electrical Engineering Egyptian Academy for Engineering & Advanced Technology Cairo Egypt

Remote sensing (RS) satellites may provide much information about the land cover at different resolutions that have been utilized in many military and civil purposes. Multi-temporal images change detection (CD) is one of the RS applications. Images Co-registration is an important step before the change detection process, and although they are geo-referenced to each other they may not have the same spatial resolution. So, prior to the multi-temporal analysis, images should be similar in pixel size. Using optical sensors with different characteristics and resolutions to obtain the same geographical area may cause effects in change detection results. In this paper; Image difference pixel-based change detection technique is proposed, and the effect of the image pixel size on change detection is studied. Two Images of the same area are taken from two different sensors; Worldview2 and Quickbird2 images with “2”m and “2.4”m pixel size are used respectively. The change detection results show that; for “2” m pixel size, the change detection is 0.15 % With regard to “1” m, the change detection is 0.06 % With regard to “2.4” m, and 0.05 % with regard to “4” m pixel size. On the other hand, the change detection results show that, for “2.4” m pixel size, the change detection is 0.09 % With regard to “1” m and 0.015 % With regard to “4” m pixel size.

关键词： change detection algorithms Spatial resolution Sensors Image sensors Satellites detection algorithms

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change detection methodology based on region classification fusion

Change detection methodology based on region classification ...

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International Conference on Information Fusion

作者： Ting Liu George Gigli George A. Lampropoulos A.U.G. Signals Limited Toronto ONT Canada

ISBN: (纸本)9780662478300;0662478304

In this paper, several classification methods are presented and a fusion structure is included to improve the final classification performance. The definition of "layer" and the method to create it are then introduced. Based on "layer", a multiple level change detection algorithm is proposed, which gives the details of the changes in each region and is demonstrated to be an easy, effective and reliable method. Experimental results are provided using RADARSAT images, which have been registered with the automated registration algorithm of A.U.G. Signals that is currently available under the distributed processing system ***.

关键词： Phase detection Remote monitoring Pixel change detection algorithms Distributed processing Radar detection Principal component analysis Decision trees Surface topography Image resolution

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City-scale Scene change detection using Point Clouds

City-scale Scene Change Detection using Point Clouds

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Zi Jian Yew Gim Hee Lee National University of Singapore

We propose a method for detecting structural changes in a city using images captured from vehicular mounted cameras over traversals at two different times. We first generate 3D point clouds for each traversal from the images and approximate GNSS/INS readings using Structure-from-Motion (SfM). A direct comparison of the two point clouds for change detection is not ideal due to inaccurate geo-location information and possible drifts in the SfM. To circumvent this problem, we propose a deep learning-based non-rigid registration on the point clouds which allows us to compare the point clouds for structural change detection in the scene. Furthermore, we introduce a dual thresholding check and post-processing step to enhance the robustness of our method. We collect two datasets for the evaluation of our approach. Experiments show that our method is able to detect scene changes effectively, even in the presence of viewpoint and illumination differences.

关键词： Three-dimensional displays Automation change detection algorithms Conferences Urban areas Lighting Cameras

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Data-efficient minimax quickest change detection

Data-efficient minimax quickest change detection

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Taposh Banerjee Venugopal V. Veeravalli Department of Electrical and Computer Engineering Coordinated Science Laboratory University of Illinois Urbana Champaign Urbana-Champaign USA

In [1], a Bayesian two-threshold algorithm was obtained for quickest detection of a change in the distribution of a sequence of random variables, subject to constraints of probability of false alarm and observation cost. This algorithm was shown to be asymptotically optimal and to have good trade-off curves. In this paper, the results in [1] are extended to the more practically relevant minimax setting. Motivated by the structure of the algorithm developed in [1], a CUSUM based algorithm, called DE-CUSUM is proposed, which can be used for on-off observation control and to detect change as quickly as possible subject to a false alarm constraint. It is shown that the DE-CUSUM algorithm inherits the good qualities of the algorithm in [1], i.e., it is also asymptotically optimal and has good trade-off curves. Numerical results show that the DE-CUSUM algorithm provides a substantial savings in the observation cost over the naive approach of fractional sampling.

关键词： change detection algorithms Delay Bayesian methods Random variables Approximation algorithms Algorithm design and analysis

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X-Diff: an effective change detection algorithm for XML documents

X-Diff: an effective change detection algorithm for XML docu...

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International Conference on Data Engineering

作者： Y. Wang D.J. DeWitt J.-Y. Cai University of Wisconsin Madison WI USA

XML has become the de facto standard format for Web publishing and data transportation. Since online information changes frequently, being able to quickly detect changes in XML documents is important to Internet query systems, search engines, and continuous query systems. Previous work in change detection on XML, or other hierarchically structured documents, used an ordered tree model, in which left-to-right order among siblings is important and it can affect the change result. We argue that an unordered model (only ancestor relationships are significant) is more suitable for most database applications. Using an unordered model, change detection is substantially harder than using the ordered model, but the change result that it generates is more accurate. We propose X-Diff, an effective algorithm that integrates key XML structure characteristics with standard tree-to-tree correction techniques. The algorithm is analyzed and compared with XyDiff [CAM02], a published XML diff algorithm. An experimental evaluation on both algorithms is provided.

关键词： detection algorithms XML change detection algorithms Standards publication Electronic publishing Transportation Internet Search engines Databases Algorithm design and analysis

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Automation of change detection procedures for nuclear safeguards-related monitoring purposes

Automation of change detection procedures for nuclear safegu...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： I. Niemeyer S. Nussbaum M.J. Canty Freiberg University of Mining and Technology Freiberg Germany Research Centre Jülich Forschungszentrum Juelich GmbH Julich Germany

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APPLICATION OF A SEMI-AUTOMATIC UNSUPERVISED change detection TO (SEMI-) NATURAL GRASSLAND LOSS AT VERY HIGH RESOLUTION

APPLICATION OF A SEMI-AUTOMATIC UNSUPERVISED CHANGE DETECTIO...

引用

IEEE International Geoscience and Remote Sensing Symposium

作者： Cristina Tarantino Palma Blonda Maria Adamo National Research Council - Institute of Intelligent Systems for Automation (CNR-ISSIA)

ISBN: (纸本)9781479979301

This paper focuses on the application of a semi-automatic unsupervised change detection algorithm called Cross Correlation Analysis (CCA) to the detection of (semi-) natural grasslands changes at Very High Resolution (VHR). A reference validated Land Cover/Land Use map at time T1 and only one satellite image at time T2, with T2>T1, are required to detect changes occurred at T2 in the selected target class. This approach offers the possibility to reduce the costs of change detection when the acquisition of multi-seasonal VHR images at time T2 for supervised change detection is too expensive or when no archive VHR image is available in the past for unsupervised comparison between T1 and T2 images. A summer Worldview-2 image for a Natura 2000 test site was considered and the results appear encouraging.

关键词： change detection algorithms Earth Observation Data (Semi-) Natural Grassland Very High Resolution change detection algorithms High definition T2 SEMI-AUTOMATIC observational data images

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detection of change in periodic, nonstationary data

Detection of change in periodic, nonstationary data

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： C.M. Gruner D.H. Johnson Computer & Information Technology Institute Department of Electrical & Computer Engineering Rice University Houston TX USA

Traditional change detection strategies are limited in cases where the data are nonstationary and the distributions are unknown. We present an algorithm for change detection problems in which we do not know the form of the distribution. Our algorithm uses distributed detection with a bank of type-based front end detectors that achieve asymptotically optimal type I error performance. Our simulations indicate that this algorithm performs much better than traditional methods.

关键词： Detectors Probability distribution change detection algorithms Statistical distributions Statistical analysis Information technology Data engineering Maximum likelihood detection Maximum likelihood estimation Testing

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