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检索条件"主题词=Change detection algorithms"

共 1584 条记录，以下是191-200 订阅

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Automatic change detection based on conditional random field in high resolution remote sensing images

Automatic change detection based on conditional random field...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Guo Cao Xuesong Li Yanfeng Shang The School of Computer Science and Technology Nanjing University of Science and Technology Nanjing China The third research institute of ministry of public security Shanghai China

An automatic change detection method based on conditional random field (CRF) is presented for high resolution remote sensing images in this paper. Marginalized denoising autoencoder is used to generate the difference image. The clustering results of Fuzzy C-means are applied to initialize the unary potentials of CRF. A scaled squared Euclidean distance between neighboring pixels in the observed images is introduced to define the pairwise potentials of CRF, which avoid training parameters and help improve the accuracy and the degree of automation. The experimental results obtained on different remote sensing images demonstrated the accuracy and efficiency of our proposed method.

关键词： Remote sensing change detection algorithms Training Classification algorithms Labeling Image resolution Kernel

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Subpixel change detection Based on Abundance and Slope Features

Subpixel Change Detection Based on Abundance and Slope Featu...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： C.-C. Hsieh P.-F. Hsieh C.-W. Lin Department of Computer Science and Information Engineering National Cheng Kung University Tainan Taiwan

Most of change detection algorithms for multi-temporal images are performed in unit of pixels. Due to the limit of spatial resolution, a pixel is, in many cases, a mixed pixel that contains more than one ground cover types. In order to explore more information from images, we have reviewed several spectral unmixing algorithms and used them to accomplish subpixel change detection. In an application of landslide monitoring, we demonstrated the use of subpixel change detection for detection of landslide spreading. We used spectral unmixing algorithms to extract the abundance information from multispectral images. For the particular characteristic of landslides, we incorporated the slope feature into process. Our preliminary result shows that the subpixel change detection method can provide more detailed information about landslide spread than pixel-based change detection algorithms.

关键词： Terrain factors change detection algorithms Vegetation mapping Soil Remote sensing detection algorithms Pixel Matrix decomposition Spatial resolution Data mining

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Matrix CUSUM: a recursive multi-hypothesis change detection algorithm

Matrix CUSUM: a recursive multi-hypothesis change detection ...

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IEEE International Symposium on Information Theory

作者： T. Oskiper H.V. Poor Department of Electrical Engineering Princeton University Princeton NJ USA

A new recursive M-ary change detection algorithm is described.

ISBN: (纸本)0780371232

A new recursive M-ary change detection algorithm is described.

关键词： detection algorithms Iron Distribution functions change detection algorithms Delay Random variables Algorithm design and analysis Minimax techniques Statistical distributions Density functional theory

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Robust change detection by fusing intensity and texture differences

Robust change detection by fusing intensity and texture diff...

引用

Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Liyuan Li M.K.H. Leung KRDL RWCP Multi Modal Functions Laboratory Singapore Singapore School of Computer Engineering Nanyang technological University Singapore Singapore

ISBN: (纸本)0769512720

The paper proposes a novel technique for robust change detection based upon the integration of intensity and texture differences between two frames. A new texture difference measure based on the relations between gradient vectors is described. The robustness of the measure with respect to noise and illumination changes has been analyzed. Two ways to integrate the intensity and texture differences are proposed. The first combines two measures according to the weightage of texture evidence, while the second takes into additional constraint of smoothness. The parameters of the algorithm are selected automatically. The computational complexity analysis indicates that the proposed technique can run in real-time. Experimental results show that by exploiting both intensity and texture differences for change detection, one can obtain much better segmentation results than using the intensity or structure difference alone.

关键词： Lighting Noise robustness Image edge detection Motion detection Background noise Noise level Statistical distributions Noise measurement change detection algorithms Computational complexity

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Abrupt scene change detection based on the temporal activity distributions

Abrupt scene change detection based on the temporal activity...

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IEEE Asia-Pacific Conference on Circuits and Systems

作者： Jae Ho Chung Department of Electronic Engineering Inha University Incheon South Korea

ISBN: (纸本)0780337026

In this paper, an abrupt scene change detection algorithm is suggested. The algorithm is developed based on the temporal activity distribution that derived from the temporal subband analysis. Computer simulation results show that the proposed scheme is capable of detecting abrupt scene changes in video sequence accurately and efficiently.

关键词： Layout Frequency detection algorithms Image analysis Image sequence analysis Video sequences Performance analysis Signal analysis change detection algorithms Algorithm design and analysis

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Potential fire detection based on Kalman-driven change detection

Potential fire detection based on Kalman-driven change detec...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： F. van den Bergh G. Udahemuka B. J. van Wyk Remote Sensing Research Unit Meraka Institute Pretoria South Africa French South African Technical Institute in Electronics Tshwane University of Technology TUT Pretoria South Africa

A new active fire event detection algorithm for data collected with the Spinning Enhanced Visible and Infrared Imager (SE-VIRI) sensor, based on the extended Kalman filter, is introduced. Instead of using the observed temperatures of the spatial neighbours of a pixel to detect anomalous temperatures, the new algorithm only considers previous observations at the current pixel. The algorithm harnesses the Kalman filter to obtain a prediction of the expected brightness temperature at a given location, which is then compared to the actual SE-VIRI observation. An adaptive threshold is used to determine whether the observed difference is indicative of a potential fire event. Initial tests show that the performance of this method is comparable to that of the EUMETSAT FIR product.

关键词： Fires change detection algorithms Infrared image sensors Temperature sensors Event detection Spinning Infrared detectors Brightness temperature Testing Finite impulse response filter

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A Study of Fast change detection Algorithm Based on Feature Library of Remote Sensing Imagery

A Study of Fast Change Detection Algorithm Based on Feature ...

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International Symposium on Image and Data Fusion (ISIDF)

作者： Yuan Ma Haitao Li Haiyan Gu Institute of Surveying and Geography Science LiaoNing University of Engineering and Technology Fuxin P.R. China Chinese Academy of Surveying and Mapping Key Laboratory of Geo-informatics of State Bureau of Surveying and Mapping Beijing P.R. China

The features of remote sensing imagery like the large amount of data and the changeful of terrain features decide the complexity of the change detection technology. In allusion to the requirement of the efficiency and the precision for large-scale detection, at the base of the conclusions of the change detection technology all over the world, the key point is to study an algorithm of fast change detection based on feature library of remote sensing imagery. Under the high performance colony parallel processing environment, taking the incorporate change detection technical flow and the system frame as the backing, this paper analyzed the features of the representative terrain feature, established a feature library, and studied an algorithm based on the feature library of remote-sensing imagery. With the help of typical terrain samples feature library and classify system, matched the typical samples of the feature library with the object features by full wave bands segmentation and vector analysis, namely, automatically change detection. At last, it realized the change information vector output using the storied overlay strategy. Taking QUICKBIRD of Shenzhen area as the tentative - data, used this method to carry on change detection. The results indicate that this method enhances in the precision and the efficiency obviously compared to the traditional methods. Therefore, it may apply in the practice for the large-scale imagery of change detection.

关键词： Feature extraction Libraries Remote sensing Image segmentation change detection algorithms Accuracy Data mining

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change detection methods for automatic scene analysis by using mobile surveillance cameras

Change detection methods for automatic scene analysis by usi...

引用

IEEE International Conference on Image Processing

作者： L. Marcenaro F. Oberti C.S. Regazzoni DIBE Department of Biophysical and Electronic Engineering University of Genoa Italy Universita degli Studi di Genova Genova Liguria IT

ISBN: (纸本)0780362977

This paper proposes a video-surveillance system based on a mobile camera. In particular the developed system creates (during the off-line phase) a panoramic multilayer background image allowing one to use common change detection algorithms to search for a change detection binary image. Different approaches to get the change detection images are presented. The performances of the implemented algorithms are presented by using ROC curves.

关键词： Image analysis Surveillance Cameras Layout Nonhomogeneous media Phase detection change detection algorithms Tracking Optical sensors detection algorithms

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A Contextual Multiscale Unsupervised Method for change detection with Multitemporal Remote-Sensing Images

A Contextual Multiscale Unsupervised Method for Change Detec...

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International Conference on Intelligent Systems Design and Applications (ISDA)

作者： Gabriele Moser Elena Angiati Sebastiano B. Serpico Department of Biophysical and Electronic Engineering (DIBE) University of Genoa Genoa Italy

change-detection represents a powerful tool for monitoring the evolution of the Earth's surface by multitemporal remote-sensing imagery. Here, a multiscale approach is proposed, in which observations at coarser and finer scales are jointly exploited, and a multiscale contextual unsupervised change-detection method is developed for optical images. Discrete wavelet transforms are applied to extract multiscale features that discriminate changed and unchanged areas and Markovian data fusion is used to integrate both these features and the spatial contextual information in the change-detection process. Unsupervised statistical learning methods (expectation-maximization and Besag's algorithms) are used to estimate the model parameters. Experiments on burnt-forest area detection in multitemporal Landsat TM images are presented.

关键词： Remote sensing Remote monitoring Discrete wavelet transforms Earth Optical surface waves Data mining Feature extraction Statistical learning change detection algorithms Parameter estimation

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AN AUTOMATIC SAR-BASED change detection METHOD FOR GENERATING LARGE-SCALE FLOOD DATA RECORDS: THE UK AS A TEST CASE

AN AUTOMATIC SAR-BASED CHANGE DETECTION METHOD FOR GENERATIN...

引用

IEEE International Geoscience and Remote Sensing Symposium

作者： Jie Zhao Marco Chini Patrick Matgen Renaud Hostache Ramona Pelich Wolfgang Wagner Environmental Research and Innovation Department Luxembourg Institute of Science and Technology (LIST) Luxembourg Department of Geodesy and Geoinformation Vienna University of Technology Austria

The main objective of this study is to introduce and evaluate a SAR-based flood mapping algorithm enabling the automatic generation of a large-scale flood record from the ENVISAT ASAR data archive. The flood mapping algorithm is based on a change detection approach and requires an automatic selection of optimal reference images. The flood mapping algorithm is applied to selected pairs of images to sequentially generate a record of flood extent maps. False alarms caused by water-like areas are reduced using auxiliary data sources such as the Height Above Nearest Drainage (HAND) index derived from topography data. The proposed method is applied to several ENVISAT WS ASAR datasets acquired over the UK and results are validated with a flood extent map derived from aerial photography. Results presented in this paper demonstrate the effectiveness of the methodology.

关键词： Floods Backscatter Radar polarimetry change detection algorithms Systematics Indexes Synthetic aperture radar

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