At DATONG coalfield, the heavy mining activities in its Jurassic & Carboniferous coal seams has caused very serious adverse effects to the local geological environment, such as soil avalanche, landslide, mud-rock flow, surface settlement, surface crack, surface gangue stack, surface deformations and subsidence. Moreover, as coal mining causes groundwater leakage, excessive groundwater exploitation has greatly intensified surface settlement in DATONG City. The paper uses 8 cog-nominal ERS-1/2 SAR data frames obtained during 1992 to 2003 period, obtained 84 deformation fields. Of the 84 sites for preliminary interference, 44 sites belong to mining subsidence, 23 urban subsidences and 17 landslides. The total coverage area of deformation amounts to 1824.4km2, which is almost equivalent to the total area of the DATONG coalfield. Key wards-Land subsidence; InSAR; DATONG Jurassic & Carboniferous Period Coalfield
{"title":"A Study of Land Subsidence by Radar Remote Sensing at Datong Jurassic & Carboniferous Period Coalfield","authors":"Peiyi Fu, Y. Ge, Chao Ma, Xiuming Jia, X. Shan, Fangfang Li, Xiaoke Zhang","doi":"10.1109/CISP.2009.5304493","DOIUrl":"https://doi.org/10.1109/CISP.2009.5304493","url":null,"abstract":"At DATONG coalfield, the heavy mining activities in its Jurassic & Carboniferous coal seams has caused very serious adverse effects to the local geological environment, such as soil avalanche, landslide, mud-rock flow, surface settlement, surface crack, surface gangue stack, surface deformations and subsidence. Moreover, as coal mining causes groundwater leakage, excessive groundwater exploitation has greatly intensified surface settlement in DATONG City. The paper uses 8 cog-nominal ERS-1/2 SAR data frames obtained during 1992 to 2003 period, obtained 84 deformation fields. Of the 84 sites for preliminary interference, 44 sites belong to mining subsidence, 23 urban subsidences and 17 landslides. The total coverage area of deformation amounts to 1824.4km2, which is almost equivalent to the total area of the DATONG coalfield. Key wards-Land subsidence; InSAR; DATONG Jurassic & Carboniferous Period Coalfield","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116351050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-10-30DOI: 10.1109/CISP.2009.5304682
Guodong Tian, Aidong Men
Texture-based method (TBM) using local binary patterns (LBP) proposed in (1) is a successful solution to background subtraction especially for dynamic background scenes. However, it usually suffers from inaccuracy of the shapes of segmentation results and slow adaptation to the current situation. In this paper, we present an improved TBM that solves the two problems. To solve the first problem, a spatially weighted LBP histogram (SWLH) is proposed to be the feature vector and a simple shadow removing method is introduced. When dealing with the second one, we use an adaptive learning rate for each model LBP histogram and maintain multiple frame level models to process sudden illumination changes. Experimental results show that the proposed method outperforms the original TBM.
{"title":"An Improved Texture-Based Method for Background Subtraction Using Local Binary Patterns","authors":"Guodong Tian, Aidong Men","doi":"10.1109/CISP.2009.5304682","DOIUrl":"https://doi.org/10.1109/CISP.2009.5304682","url":null,"abstract":"Texture-based method (TBM) using local binary patterns (LBP) proposed in (1) is a successful solution to background subtraction especially for dynamic background scenes. However, it usually suffers from inaccuracy of the shapes of segmentation results and slow adaptation to the current situation. In this paper, we present an improved TBM that solves the two problems. To solve the first problem, a spatially weighted LBP histogram (SWLH) is proposed to be the feature vector and a simple shadow removing method is introduced. When dealing with the second one, we use an adaptive learning rate for each model LBP histogram and maintain multiple frame level models to process sudden illumination changes. Experimental results show that the proposed method outperforms the original TBM.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121525469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-10-30DOI: 10.1109/CISP.2009.5303484
Y. Xi, Tianyou Liu, Xiaoyang Wu
Fractal geometry is a powerful tool for nonlinear signal processing. It has quickly developed recently. Geological process is complicated and a lot of geological phenomena or their signals have non-linear features, which can be described by fractal geometry. Power spectral method is used to calculate aeromagnetic signal fractal dimension. We also analyzed the fractal feature of aeromagnetic. Fractal method is used to identify igneous rocks in oil and gas prospecting, and analyze fault to forecast earthquake disaster, and have a good geological effect. Keywords-fractal aeromagnetic; power spectral method; oil and gas prospecting; forecast earthquake disaster; Bayahaote Basin; Zhujiang delta
{"title":"Application of Fractal Technique in Nonlinear Geophysical Signal Processing","authors":"Y. Xi, Tianyou Liu, Xiaoyang Wu","doi":"10.1109/CISP.2009.5303484","DOIUrl":"https://doi.org/10.1109/CISP.2009.5303484","url":null,"abstract":"Fractal geometry is a powerful tool for nonlinear signal processing. It has quickly developed recently. Geological process is complicated and a lot of geological phenomena or their signals have non-linear features, which can be described by fractal geometry. Power spectral method is used to calculate aeromagnetic signal fractal dimension. We also analyzed the fractal feature of aeromagnetic. Fractal method is used to identify igneous rocks in oil and gas prospecting, and analyze fault to forecast earthquake disaster, and have a good geological effect. Keywords-fractal aeromagnetic; power spectral method; oil and gas prospecting; forecast earthquake disaster; Bayahaote Basin; Zhujiang delta","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"61 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113961685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-10-30DOI: 10.1109/CISP.2009.5305201
Wulan Bagen, Ji-Ying Hu, Yuanming Xu
We design a vision-based system to enable an unmanned helicopter to land on a ship. Based on affine moment invariants, fuzzy recognition, Kalman filter and a PI controller, the helicopter can identify a target, track it, and land on it while the ship is in motion even oscillation. A simulation system, including an unmanned helicopter and a ship, has been developed for test our ideas. Simulation results validate our algorithm. In simulation our algorithm has successfully isolated the influence of helicopter's oscillation and found the best threshold between performance and precision. The results shown that our algorithm is robust, the tracker can track target in two-dimensions very well.
{"title":"A Vision-Based Unmanned Helicopter Ship Board Landing System","authors":"Wulan Bagen, Ji-Ying Hu, Yuanming Xu","doi":"10.1109/CISP.2009.5305201","DOIUrl":"https://doi.org/10.1109/CISP.2009.5305201","url":null,"abstract":"We design a vision-based system to enable an unmanned helicopter to land on a ship. Based on affine moment invariants, fuzzy recognition, Kalman filter and a PI controller, the helicopter can identify a target, track it, and land on it while the ship is in motion even oscillation. A simulation system, including an unmanned helicopter and a ship, has been developed for test our ideas. Simulation results validate our algorithm. In simulation our algorithm has successfully isolated the influence of helicopter's oscillation and found the best threshold between performance and precision. The results shown that our algorithm is robust, the tracker can track target in two-dimensions very well.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124303698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-10-30DOI: 10.1109/CISP.2009.5303426
Yanjiang Wang, Peng Suo, Yujuan Qi
Gaussian Mixture Model (GMM) is one of the best models for modeling a background scene with gradual changes and repetitive motions. However, it fails in segmenting moving objects when the scene changes sharply. To handle this problem, a novel background modeling algorithm — Memorizing GMM is proposed, which is inspired by the way human perceive the environment. It can make the GMM remember what the scene has ever been during the learning and updating period. Experimental results show that it can help segmenting moving objects precisely when the scene changes sharply. Keywords-GMM; moving objects segmentation; sharp changes; background model; Memorizing GMM
{"title":"Memorizing GMM to Handle Sharp Changes in Moving Object Segmentation","authors":"Yanjiang Wang, Peng Suo, Yujuan Qi","doi":"10.1109/CISP.2009.5303426","DOIUrl":"https://doi.org/10.1109/CISP.2009.5303426","url":null,"abstract":"Gaussian Mixture Model (GMM) is one of the best models for modeling a background scene with gradual changes and repetitive motions. However, it fails in segmenting moving objects when the scene changes sharply. To handle this problem, a novel background modeling algorithm — Memorizing GMM is proposed, which is inspired by the way human perceive the environment. It can make the GMM remember what the scene has ever been during the learning and updating period. Experimental results show that it can help segmenting moving objects precisely when the scene changes sharply. Keywords-GMM; moving objects segmentation; sharp changes; background model; Memorizing GMM","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126202801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-10-30DOI: 10.1109/CISP.2009.5301596
Na Li, Xuezhong Li
We study Mechanism of enzyme reaction from the perspective of statistical mechanics. The enzymatic reaction is regarded a process of Brownian particle cross pass through potential barrier. We establish a model based on Langevin equation and Kramers rate process model and describe a relationship of between reaction velocity and conditions such as temperature, damping, activation energy by Monte Carlo simulations. We interpreted the effects of reaction conditions velocity by viewpoint of dynamics molecular.
{"title":"Mechanism of Enzyme Reaction Based on Dynamics Molecular","authors":"Na Li, Xuezhong Li","doi":"10.1109/CISP.2009.5301596","DOIUrl":"https://doi.org/10.1109/CISP.2009.5301596","url":null,"abstract":"We study Mechanism of enzyme reaction from the perspective of statistical mechanics. The enzymatic reaction is regarded a process of Brownian particle cross pass through potential barrier. We establish a model based on Langevin equation and Kramers rate process model and describe a relationship of between reaction velocity and conditions such as temperature, damping, activation energy by Monte Carlo simulations. We interpreted the effects of reaction conditions velocity by viewpoint of dynamics molecular.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126536191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-10-30DOI: 10.1109/CISP.2009.5304425
Yin-guo Huang, Xi Jia, Yu-chi Lin, Wei Wang
The LD-PSD measurement system is widely used in modern geometrical precision measurement, such as displacement, angle, vibration and position error detection. It adopts LD as the light source and PSD to detect the position of laser spot. In this system, such unfavorable factors as background light, dark current of PSD, environmental temperature and electromagnetic noise can reduce the accuracy of the practical measurement system and result in the phenomenon of drift. This paper presents a method of signal processing for LD-PSD system based on square-wave modulation to improve the system accuracy. The factors affecting measurement precision are analyzed and some general methods are introduced. Aiming at a typical 2-D linear displacement measuring system, the signal processing system is designed, including the LD driver and PSD signal processing and sampling module. The experimental results show that the system can effectively decreases the noise effect and has good linearity and stability. Keywords-PSD; square-wave modulation; signal processing
{"title":"Research on Signal Processing for LD-PSD System Based on Square-Wave Modulation","authors":"Yin-guo Huang, Xi Jia, Yu-chi Lin, Wei Wang","doi":"10.1109/CISP.2009.5304425","DOIUrl":"https://doi.org/10.1109/CISP.2009.5304425","url":null,"abstract":"The LD-PSD measurement system is widely used in modern geometrical precision measurement, such as displacement, angle, vibration and position error detection. It adopts LD as the light source and PSD to detect the position of laser spot. In this system, such unfavorable factors as background light, dark current of PSD, environmental temperature and electromagnetic noise can reduce the accuracy of the practical measurement system and result in the phenomenon of drift. This paper presents a method of signal processing for LD-PSD system based on square-wave modulation to improve the system accuracy. The factors affecting measurement precision are analyzed and some general methods are introduced. Aiming at a typical 2-D linear displacement measuring system, the signal processing system is designed, including the LD driver and PSD signal processing and sampling module. The experimental results show that the system can effectively decreases the noise effect and has good linearity and stability. Keywords-PSD; square-wave modulation; signal processing","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128082194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-10-30DOI: 10.1109/CISP.2009.5301319
Zhenghao Shi, Jun Bai, Lifeng He, Tsuyoshi Nakamura, Quanzhu Yao, H. Itoh
To make the visual of any region with a spherical structure (where a potential nodule may happen to occur) in lung fields in a chest radiograph more clearly and to better determine the extent of that region and the presence of any other region of the same nature, this paper proposes a method for enhancing lung nodules in chest radiograph images by use of Laplace of Gaussian (LoG) filter. The key for the implementation of the method is the selection of the standard deviation of the LoG kernel. After LoG filter convolution on a chest radiograph image, regions of high circularity in the image are enhanced, while other regions are suppressed, and thus the contrast between nodules and normal anatomy is improved. With respect to other methods, the main advantage of LoG filter based method is that no prior explicit knowledge about the actual shape of the nodules and structure of image background is needed. The methods have been tested on a publicly available database of 52 chest radiographs, in which the absence and presence of nodules in the chest radiographs were confirmed by use of CT examinations. Experimental results demonstrate that the proposed method in enhancing lung nodules in chest radiographs is efficient and effective.
{"title":"A Method for Enhancing Lung Nodules in Chest Radiographs by Use of LoG Filter","authors":"Zhenghao Shi, Jun Bai, Lifeng He, Tsuyoshi Nakamura, Quanzhu Yao, H. Itoh","doi":"10.1109/CISP.2009.5301319","DOIUrl":"https://doi.org/10.1109/CISP.2009.5301319","url":null,"abstract":"To make the visual of any region with a spherical structure (where a potential nodule may happen to occur) in lung fields in a chest radiograph more clearly and to better determine the extent of that region and the presence of any other region of the same nature, this paper proposes a method for enhancing lung nodules in chest radiograph images by use of Laplace of Gaussian (LoG) filter. The key for the implementation of the method is the selection of the standard deviation of the LoG kernel. After LoG filter convolution on a chest radiograph image, regions of high circularity in the image are enhanced, while other regions are suppressed, and thus the contrast between nodules and normal anatomy is improved. With respect to other methods, the main advantage of LoG filter based method is that no prior explicit knowledge about the actual shape of the nodules and structure of image background is needed. The methods have been tested on a publicly available database of 52 chest radiographs, in which the absence and presence of nodules in the chest radiographs were confirmed by use of CT examinations. Experimental results demonstrate that the proposed method in enhancing lung nodules in chest radiographs is efficient and effective.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128159039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-10-30DOI: 10.1109/CISP.2009.5304140
Qiang Wang, Dai Junping, Tong Zhang
In modern digital image reproduction field, interpolation arithmetic plays an important role in image conversion and its efficiency directly affects the image reproduction accuracy. In this paper, we choose four typical colorful images represent gradient, shadow tone, midtone and light tone respectively. Different interpolation methods have been applied on these four images to measure the different influences when the images are rotated. We mainly research the relationship among different kinds of interpolation arithmetic and the changes on the images' color. Several interesting phenomena are got and some valuable conclusions are obtained from the experiments.
{"title":"The Quantitative Analysis of Color Reproduction Based on Interpolation Arithmetic","authors":"Qiang Wang, Dai Junping, Tong Zhang","doi":"10.1109/CISP.2009.5304140","DOIUrl":"https://doi.org/10.1109/CISP.2009.5304140","url":null,"abstract":"In modern digital image reproduction field, interpolation arithmetic plays an important role in image conversion and its efficiency directly affects the image reproduction accuracy. In this paper, we choose four typical colorful images represent gradient, shadow tone, midtone and light tone respectively. Different interpolation methods have been applied on these four images to measure the different influences when the images are rotated. We mainly research the relationship among different kinds of interpolation arithmetic and the changes on the images' color. Several interesting phenomena are got and some valuable conclusions are obtained from the experiments.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125476507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-10-30DOI: 10.1109/CISP.2009.5304635
Zhiyong Ye, Yijian Pei, Jihong Shi
Corner points are formed from two or more edges and edges usually define the boundary between two different objects or parts of the same objects. In this novel we discuss the theory of the Harris corner detection and indicate its disadvantage. Then it proposes an improved algorithm of Harris detection algorithm based on the neighboring point eliminating method. It reduces the time of the detection, and makes the corners distributing more homogenous so that avoids too many corners stay together. Experimental results show that the algorithm can detect corner more equality distributing, and can be used in some fact applications such as image registration well. Key words-Corner point; Harris corner; neighboring
{"title":"An Improved Algorithm for Harris Corner Detection","authors":"Zhiyong Ye, Yijian Pei, Jihong Shi","doi":"10.1109/CISP.2009.5304635","DOIUrl":"https://doi.org/10.1109/CISP.2009.5304635","url":null,"abstract":"Corner points are formed from two or more edges and edges usually define the boundary between two different objects or parts of the same objects. In this novel we discuss the theory of the Harris corner detection and indicate its disadvantage. Then it proposes an improved algorithm of Harris detection algorithm based on the neighboring point eliminating method. It reduces the time of the detection, and makes the corners distributing more homogenous so that avoids too many corners stay together. Experimental results show that the algorithm can detect corner more equality distributing, and can be used in some fact applications such as image registration well. Key words-Corner point; Harris corner; neighboring","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"2009 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125629326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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