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Adaptive shrinkage despeckling for SAR image based on nonsubsampled contourlet transform

Adaptive shrinkage despeckling for SAR image based on nonsub...

MIPPR 2009 - Multispectral image Acquisition and processing: 6th International Symposium on Multispectral image processing and Pattern Recognition

作者： Wang, Shuang Zhao, Hong Jiao, Licheng Hou, Biao Key Laboratory of Intelligent Perception and Image Understanding Institute of Intelligent Information Processing Xidian University Xi'an 710071 China

ISBN: (纸本)9780819478054

An improved Nonsubsampled Contourlet Transform (NSCT)-based method has been proposed in this paper, using subbands mask prior models and directional information for synthetic aperture radar (SAR) image despeckling. The NSCT is a shift-invariant directional wavelet transform which satisfies the demands of SAR image despeckling. Wedding coefficient statistic character of NSCT subbands and directional information captured by the transform, this paper applies anisotropic neighborhood models to the processing of adaptive shrinkage. The resulting algorithm strongly suppresses speckle, while preserving detailed information and image edges compared with other traditional despeckling methods. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Shrinkage

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SAR image classification based on correlation of directional features in frequency domain

SAR image classification based on correlation of directional...

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MIPPR 2009 - Pattern Recognition and Computer Vision: 6th International Symposium on Multispectral image processing and Pattern Recognition

作者： Zhong, Hua Yang, Xiaoming Jiao, Licheng Institution of Intelligent Information Processing Key Laboratory of Intelligent Perception and Image Understanding Xidian University Xi'an 710071 China

ISBN: (纸本)9780819478078

A new SAR image classification method is proposed based on the remarkable correlation of feature channels, which are obtained by dividing the Fourier plane into sectors according to the frequency and direction. Compared with other feature correlation based methods in wavelet and Contourlet domain, our method operates directly in the Fourier plane, which is more robust with regard to images size and more flexible in the capture of frequency and directional information. Moreover, the use of FFT transform is computationally more attractive. Experimental results on the Brodatz textures and SAR images demonstrate the effectiveness and efficiency of the proposed method. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Classification (of information)

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城市耦合风险——以人为本的复杂系统视角（英文）

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Engineering 2025年第1期 44-50页

作者：欧阳敏程泽楷马佳欣王红卫 Stergios Aristoteles Mitoulis School of Artificial Intelligence and Automation Huazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control Ministry of Education Huazhong University of Science and Technology School of Management Huazhong University of Science and Technology School of Engineering University of Birmingham

The complexity of coupled risks, which refer to the compounded effects of interacting uncertainties across multiple interdependent objectives, is inherent to cities functioning as dynamic, interdependent systems. A disruption in one domain ripples across various urban systems, often with unforeseen consequences. Central to this complexity are people, whose behaviors, needs, and vulnerabilities shape risk evolution and response effectiveness. Realizing cities as complex systems centered on human needs and behaviors is essential to understanding the complexities of coupled urban risks. This paper adopts a complex systems perspective to examine the intricacies of coupled urban risks, emphasizing the critical role of human decisions and behavior in shaping these dynamics. We focus on two key dimensions: cascading hazards in urban environments and cascading failures across interdependent exposed systems in cities. Existing risk assessment models often fail to capture the complexity of these processes, particularly when factoring in human decision-making. To tackle these challenges, we advocate for a standardized taxonomy of cascading hazards, urban components, and their interactions. At its core is a people-centric perspective, emphasizing the bidirectional interactions between people and the systems that serve them. Building on this foundation, we argue the need for an integrated, people-centric risk assessment framework that evaluates event impacts in relation to the hierarchical needs of people and incorporates their preparedness and response capacities. By leveraging real-time data, advanced simulations, and innovative validation methods, this framework aims to enhance the accuracy of coupled urban risk modeling. To effectively manage coupled urban risks, cities can draw from proven strategies in real complex systems. However, given the escalating uncertainties and complexities associated with climate change, prioritizing people-centric strategies is crucial. This ap

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image Aligning and Stitching Based on Multilayer Mesh Deformation 16th

Image Aligning and Stitching Based on Multilayer Mesh Deform...

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16th International Forum on Digital TV and Wireless Multimedia communication, IFTC 2019

作者： Xie, Mingfu Zhou, Jun Gu, Xiao Yang, Hua Shanghai Key Laboratory of Multi Media Processing and Transmissions Shanghai Jiaotong University Shanghai China Institute of Image Communication and Network Engineering Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9789811533402

This paper aims to solve the problem of strong disparity in image stitching. By studying current mesh deformation methods based on single grid, we propose an image stitching framework based on multilayer mesh deformation for aligning regions in different layer. With development of image depth perception and semantic segmentation technology, we can get layering maps of images or photos expediently. We introduce images representation with layers and get layer corresponding by using depth or disparity information for large parallax scenarios. Registration of each layer is carried out independently. To ensure the integrity of layer synthesis results, we apply deformation with translation and scaling compensation between different layers before blending. The experiment demonstrates that our method can adequately utilize the prior information in layering maps to decouple 2D transformation between different layers, finally achieve outstanding aligning performance in all layers and naturalness in complete stitching result. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Multilayers

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Efficient spatial temporal convolutional features for audiovisual continuous affect recognition 9

Efficient spatial temporal convolutional features for audiov...

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9th International Audio/Visual Emotion Challenge and Workshop, AVEC 2019, held in conjunction with the ACM Multimedia 2019

作者： Chen, Haifeng Deng, Yifan Cheng, Shiwen Wang, Yixuan Jiang, Dongmei Sahli, Hichem Shaanxi Key Lab on Speech and Image Information Processing Xi'an China Peng Cheng Laboratory Shenzhen China Belgium

ISBN: (纸本)9781450369138

Affective dimension prediction from multi-modal is becoming an increasingly attractive research field in artificial intelligence (AI) and human-computer interaction (HCI) . Previous works have shown that discriminative features from multiple modalities are of importance to accurately recognize emotional states. Recently, deep representations have proved to be effective for emotional state recognition. To investigate new deep spatial-temporal features and evaluate their effectiveness for affective dimension recognition, in this paper, we propose: (1) combining a pre-trained 2D-CNN and a 1D-CNN for learning deep spatial-temporal features from video images and audio spectrograms;and (2) a spatial-Temporal Graph Convolutional Networks (ST-GCN) adapted to facial landmarks graph. To evaluate the effectiveness of the proposed spatialtemporal features for affective dimension prediction, we propose Deep Bidirectional Long Short-Term Memory Networks (DBLSTM) model for single-modality prediction, early-fusion and late-fusion predictions. With respect to the liking dimension, we use the text modality for prediction. Experimental results, on the AVEC2019 CES dataset, show that our proposed spatial-temporal features and recognition model obtain promising results. On the development set, the obtained concordance correlation coefficient (CCC) is up to 0.724 for arousal and 0.705 for valence, and on the test set, the CCC is 0.513 for arousal and 0.515 for valence, which outperform the baseline system with corresponding CCC of 0.355 and 0.468 on arousal and valence, respectively. © 2019 Association for Computing Machinery.

关键词： Forecasting

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Part-based human gait identification under clothing and carrying condition variations

Part-based human gait identification under clothing and carr...

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International Conference on Machine Learning and Cybernetics

作者： Li, Ning Xu, Yi Yang, Xiao-Kang Institute of Image Communication and Information Processing Shanghai JiaoTong University Shanghai 200240 China Shanghai Key Lab of Digital Media Processing and Transmissions Shanghai 200240 China

ISBN: (纸本)9781424465262

Gait recognition has already achieved satisfactory performance on small databases under ideal conditions. Most of the existing approaches represent gait pattern using a locomotion model or statistic model of human silhouette. However, it is still a challenging task to conduct human gait identification under variations of clothing and carrying condition in real scenes. In this paper, an adaptive part-based feature selection method is proposed to filter out interference feature blocks and a matching procedure is performed to identify the correct subject. Compared with the state-of-the-art methods on a large standard dataset, the proposed method shows an encouraging computational complexity reduction and performance improvement in identification rates. © 2010 IEEE.

关键词： Feature Selection

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Fire surveillance method based on quaternionic wavelet features

Fire surveillance method based on quaternionic wavelet featu...

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16th International Multimedia Modeling Conference on Advances in Multimedia Modeling, MMM 2010

作者： Yu, Zhou Xu, Yi Yang, Xiaokang Institute of Image Communication and Information Processing Shanghai Jiaotong University Shanghai 200240 China Shanghai Key Lab of Digital Media Processing and Transmissions Shanghai 200240 China

ISBN: (纸本)3642113001

Color cues are important for recognizing flames in fire surveillance. Accordingly, the rational selection of color space should be considered as a nontrivial issue in classification of fire elements. In this paper, quantitative measures are established using learning-based classifiers to evaluate fire recognition accuracy within different color spaces. Rather than dealing with color channels separately, the color pixels are encoded as quaternions so as to be clustered as whole units in color spaces. Then, a set of quaternion Gabor wavelets are constructed to establish an comprehensive analysis tool for local spectral, spatial and temporal characteristics of fire regions. Their quaternion Gaussian kernels are used to represent the spectral distribution of fire pixel clusters. In addition, a 2D band-pass filter kernel contained in the quaternion Gabor extracts spatial contours of fire regions. Another 1D temporal filter kernel is enforced to capture random flickering behavior in the fire regions, greatly reducing the false alarms from the regular moving objects. For early alerts and high detection rate of fire events, smoke region is also recognized from its dynamic textures in the proposed fire surveillance system. Experimental results under a variety of conditions show the proposed vision-based surveillance method is capable of detecting flame and smoke reliably. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Fires

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Road Crack Acquisition and Analysis System Based on Mobile Robot and Deep Learning 11

Road Crack Acquisition and Analysis System Based on Mobile R...

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11th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2021

作者： Zhu, Guijie Fan, Zhun Ma, Peili Huang, Wenning Ye, Zhihao Huang, Mingwei Li, Jiangli Jiang, Zhicheng Zhong, Zhuwei He, Weiyuan Guangdong Provincial Key Laboratory of Digital Signal and Image Processing College of Engineering Shantou University Shantou515063 China

ISBN: (纸本)9781665425278

In this paper, a road crack acquisition and analysis system based on mobile robot and deep learning is proposed. First, a virtual reality technology-based omnidirectional mobile robot is developed to remotely collect detailed road crack images. Next, an image dataset including different kinds of crack images collected by the mobile robot is constructed and utilized for training and testing a deep convolutional neural network (DCNN) model. Following this, the trained model is used to identify and segment the crack images acquired from the robot, and to facilitate the inspector to know the road surface condition, crack information (crack length, crack width, and crack area) is obtained using an image processing method. Finally, the proposed system and method are applied to a campus road, which realizes the accurate acquisition and analysis of road crack information, thus demonstrating the feasibility and effectiveness of the proposed system and method. © 2021 IEEE.

关键词： Mobile robots

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Local and non-local graph regularized sparse coding for face recognition

Local and non-local graph regularized sparse coding for face...

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2013 7th International Conference on image and Graphics, ICIG 2013

作者： Lu, Ming Zhao, Danpei Shi, Jun Jiang, Zhiguo Image Processing Center School of Astronautics Beihang University Beijing Key Laboratory of Digital Media Beijing 100191 China

ISBN: (纸本)9780769550503

The recent emerging sparse coding (SC) algorithms do not take local manifold structure of samples into consideration, while graph regularized sparse coding (GraphSC) algorithm only constrains the locality consistency of samples. Furthermore, the graph construction approach based on k-nearest-neighbor usually pre-defines the number of neighbors for all the samples, which may fails to fit the intrinsic structure of each sample. To address these issues, we propose an local and nonlocal graph regularized sparse coding (LN-GraphSC) algorithm. LN-GraphSC incorporates both local and nonlocal information of samples at the same time. On the other hand, to alleviate the problem of neighbor parameter selection, we use average distance of each sample to wisely determine its own local and nonlocal samples. To verify the effectiveness of our proposed method, we evaluate our method on the task of face recognition. The experimental results on ORL and Yale face databases show our method has competitive performance when compared to SC and GraphSC. © 2013 IEEE.

关键词： Face recognition

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Low bit-rate SAR image encoding using bandelets with adaptive quadtree partition

Low bit-rate SAR image encoding using bandelets with adaptiv...

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2009 Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2009

作者： Yang, Shuyuan Meng, Huixiao Wu, Ruixia Jiao, Licheng Key Laboratory of Intelligent Perception Image Understanding of Ministry of Education Institute of Intelligence Information Processing Xi'an 710071 China

ISBN: (纸本)9781424427314

Synthetic aperture radar (SAR) is an imaging system which provides high-resolution images of earth surface. Nowadays there is an ever-growing interest in the SAR data compression because of the huge resources which require for storage and transmission. In this paper, we address the problem of SAR image compression and apply the multiscale Bandelet with adaptive quadtree partition to solve it. Because Bandelet can provide an efficient representation of geometric structures existed in images, the Bandelet based method can capture abundant textures in SAR images. Moreover, the multiscale Bandelet with adaptive quadtree partition can approximate any piecewise Cα-regular functions when α is unknown, so Bandelet can represent the hierarchy textures of SAR images efficiently. Embedded Block Coding with Optimal Truncation (EBCOT) coding algorithm is employed in our proposed method. Experimental results show that our method outperforms JPEG2000 and the second generation Bandelet (2G-Bandelet) compression methods on SAR image encoding at low bit rates. ©2009 IEEE.

关键词： Synthetic aperture radar

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