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Ladar imaging detection of salient map based on PWVD and Renyi entropy

Ladar imaging detection of salient map based on PWVD and Ren...

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8th Symposium on multispectral image Processing and Pattern recognition (mippr) - multispectral image acquisition, Processing, and analysis

作者： Xu Yuannan Zhao Yuan Deng Rong Dong Yanbing Sci & Technol Opt Radiat Lab Beijing 100854 Peoples R China

ISBN: (纸本)9780819498021

Spatial-frequency information of a given image can be extracted by associating the grey-level spatial data with one of the well-known spatial/spatial-frequency distributions. The Wigner-Ville distribution (WVD) has a good characteristic that the images can be represented in spatial/spatial-frequency domains. For intensity and range images of ladar, through the pseudo Wigner-Ville distribution (PWVD) using one or two dimension window, the statistical property of Renyi entropy is studied. We also analyzed the change of Renyi entropy's statistical property in the ladar intensity and range images when the man-made objects appear. From this foundation, a novel method for generating saliency map based on PWVD and Renyi entropy is proposed. After that, target detection is completed when the saliency map is segmented using a simple and convenient threshold method. For the ladar intensity and range images, experimental results show the proposed method can effectively detect the military vehicles from complex earth background with low false alarm.

关键词： Ladar imaging Saliency map target detection Renyi entropy

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Extraction of residential information from high-spatial resolution image integrated with upscaling methods and object multi-features - art. no. 678605

Extraction of residential information from high-spatial reso...

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Dong, Lixin Wu, Bingfang Chinese Acad Sci Inst Remote Sensing Applicat Beijing 100101 Peoples R China

ISBN: (纸本)9780819469502

Monitoring residential areas at a regional scale, and even at a global scale, has become an increasingly important topic. However, extraction of residential information was still a difficulty and challenging task, such as multiple usable data selection and automatic or semi-automatic techniques. In metropolitan area, such as Beijing, urban sprawl has brought enormous pressure on rural and natural environments. Given a case study, a new strategy of extracting of residential information integrating the upscaling methods and object multi-features was introduced in high resolution SPOT fused image. Multi-resolution dataset were built using upscaling methods, and optimal resolution image was selected by semi-variance analysis approach. Relevant optimal spatial resolution images were adopted for different type of residential area (city, town and rural residence). Secondly, object multi-features, including spectral information, generic shape features, class related features, and new computed features, were introduced. An efficient decision tree and Class Semantic Representation were set up based on object multi-features. And different classes of residential area were extracted from multi-resolution image. Afterwards, further discussion and comparison about improving the efficiency and accuracy of classification with the proposed approach were presented. The results showed that the optimal resolution image selected by upscaling and semi-variance method successfully decreased the heterogeneous, smoothed the noise influence, decreased computational, storage burdens and improved classification efficiency in high spatial resolution image. The Class Semantic Representation and decision tree based on object multi-features improved the overall accuracy and diminished the 'salt and pepper effect'. The new image analysis approach offered a satisfactory solution for extracting residential information quickly and efficiently.

关键词： upscaling methods object multi-features semi-variance analysis multi-resolution residential area

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Method of airport detection based on multi-resolution and multi-spectrum remote sensing images - art. no. 67860H

Method of airport detection based on multi-resolution and mu...

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5th International Symposium on multispectral image Processing and Pattern recognition

作者： Wang, Cheng Sun, Hai Ren, Bo Huazhong Univ Sci & Technol Digital Engn & Simulat Ctr Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)9780819469502

Airport detection is one of the most important research topics in the remote sensing application field. In the field, majority of airport detection methods are designed based on different single resolution optical remote sensing images. However, because of the RS data's limitation and algorithms' shortages, these methods are not likely to have a perfect performance;inaccuracy and inefficiency are the two main drawbacks. In recent years, while much research of airport recognition has been done on single resolution images, less work has been tried to study on multi-resolution and multi-spectrum images together. Nevertheless, after many experiences, the latter method is proved available and attemptable in our research. Based on the different characteristics of multi-resolution and multi-spectrum images, we try to design a synthetical model which includes algorithms of structure feature analysis and spectral analysis. In the model, different advantages of images and methods are combined to reduce influence of each other's limitations. Finally, an airport-detection system is implemented based on the synthesis method. This paper focuses on the designment and implementation of the synthesis model, enrich the research of airport recognition and solve many problems. Section I provides an overview of the synthesis model. Section 2 discusses the core algorithms of the method in detail. Section 3 demonstrates airport detention system and Section 4 concludes the paper.

关键词： airport detection remote sensing images spectral analysis multi-resolution multi-spectrum

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Entropy-based texture analysis and feature extraction of urban street trees in the spatial frequency domain

Entropy-based texture analysis and feature extraction of urb...

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mippr 2009 - automatic target recognition and image analysis: 6th International Symposium on multispectral image Processing and Pattern recognition

作者： Zhao, Haohao Feng, Xuezhi Chen, Yan Zhao, Shuhe Xiao, Pengfeng Department of Geographical Information Science Nanjing University Nanjing 210093 China School of Remote Sensing Nanjing University of Information Science and Technology Nanjing 210044 China School of Remote Sensing and Information Engineering Wuhan University 430079 China

ISBN: (纸本)9780819478061

A method of texture analysis and feature extraction of urban street trees in spatial frequency domain is described in this paper. The QUICKBIRD image of Nanjing acquired in July, 2007 was considered. The image was first transformed by 2-D discrete Fourier transform. Then the energy of the component in spatial frequency was calculated. Entropy in a region of 7x7 window was considered to evaluate the energy distribution of the image. A Gabor filter was designed to extract texture features of street trees by using the radius and angel information of the entropy image. The precision of the segmentation result is 79.96%. Odd Gabor filter was designed to detect the edge of street trees, and the experimental result is excellent. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Feature extraction

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The fractional energy spectrum integral of the fractional Fourier transform of chirp signal 9

The fractional energy spectrum integral of the fractional Fo...

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9th International Symposium on multispectral image Processing and Pattern recognition (mippr) - multispectral image acquisition, Processing, and analysis

作者： Zou, Jiangwei Wang, Jinzhen Su, Shaoying Chen, Zengping Natl Univ Def Technol Sci & Technol Automat Target Recognit Lab ATR Changsha 410073 Hunan Peoples R China

ISBN: (纸本)9781510600522

The fractional Fourier transform (FRFT), which is a generalization of the classical Fourier transform (FT), plays an important role in many areas of signal processing and optics. Many properties of this transform are well known. In the field of signal processing, the chirp signal has a good energy concentration in the fractional Fourier domain (FRFD) by choosing an appropriate fractional order, but the study of the fractional energy spectrum integral (FESI) is still missing. The purpose of this paper is to derive the FESI of the FRFT of chirp signal, from which an important property of the chirp signal's FRFT is discovered that the FESI reaches the valley value at the rotation angle where the FRFT reaches the peak value, and this provides a new approach to detect and estimate the parameter of the chirp signal.

关键词： Fractional Fourier transform (FRFT) fractional energy spectrum integral (FESI) chirp signal

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Detection of ash fusion temperatures based on the image processing

Detection of ash fusion temperatures based on the image proc...

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5th International Symposium on multispectral image Processing and Pattern recognition

作者： Li, Peisheng Yue, Yanan Hu, Yi Li, Jie Yu, Wan Yang, Jun Hu, Niansu Yang, Guolu Wuhan Univ Coll Power & Mech Engn Wuhan 430072 Peoples R China Wuhan Univ Sch Water Res & Hydropower Wuhan 430072 Peoples R China Wuhan Univ Sewage Sludge & Silt Res Ctr Wuhan 430072 Peoples R China

ISBN: (纸本)9780819469502

The detection of ash fusion temperatures is important in the research of coal characteristics. The prevalent method is to build up ash cone with some dimension and detect the characteristic temperatures according to the morphological change. However, Conditional detection work is not accurate and brings high intensity of labor as a result of both visualization and real-time observation. According to the insufficiency of conventional method, a new method to determine ash fusion temperatures with image processing techniques is introduced in this paper. Seven techniques (image cutting, image sharpening, edge picking, open operation, dilate operation, close operation, geometrical property extraction) are used in image processing program. The processing results show that image sharpening can intensify the outline of ash cone;Prewitt operator may extract the edge well among many operators;mathematical morphology of image can filter noise effectively while filling up the crack brought by filtration, which is useful for further disposal;characteristic temperatures of ash fusion temperatures can be measured by depth-to-width ratio. Ash fusion temperatures derived from this method match normal values well, which proves that this method is feasible in detection of ash fusion temperatures.

关键词： image processing ash fusion temperatures coal

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Multi-scale representations of the motion trajectory

Multi-scale representations of the motion trajectory

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5th International Symposium on multispectral image Processing and Pattern recognition

作者： Shu, Hong Pang, Jun Qi, Cuihong Wuhan Univ Natl Lab Informat Engn Surveying Mapping & Remote Wuhan Peoples R China

ISBN: (纸本)9780819469502

At present, mobile computation is developing rapidly for location-based services. For the online GIS or cartography of moving objects, the techniques of progressively refined details greatly reduce the overhead of storage, computation, display, and communication resources. Again, human cognition about the reality is made at multi-scales of abstraction. Multi-scale representations of the moving object trajectory are required upon human hierarchical cognition and progressively refined details modeling. To this end, wavelet-based multi-scale representations of the motion trajectory are presented in this paper. We consider parametric motion and a sequence of spatio-temporal coordinates as database representations of the motion trajectory. Correspondingly, multi-scale wavelets representations are considered as computing representations of the motion trajectory. The wavelet transform is applied to time-series of spatial coordinates for finding dramatic or gradual changes of motion speed at each scale. Multi-scale wavelets representations of the motion trajectory have revealed global motion trends at the large scale and local motion details at the small scale. Inherently, spatio-temporal coordinates, motion, and dynamics are three-scale representations of spatio-temporal semantics. Multi-scale representations of motion trajectory are experimentally illustrated. Our work is devoted not only to mobile computation but also to extension of wavelet analysis into geometry data processing.

关键词： mobile computation motion trajectory wavelet analysis multi-scale representations

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Preliminary study on ice crevasse te texture analysis and recognition

Preliminary study on ice crevasse te texture analysis and re...

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mippr 2007: automatic target recognition and image analysis;and multispectral image acquisition

作者： Zhou, Chunxia Dongchen, E. Wang, Zemin Wuhan University Wuhan 430079 China

ISBN: (纸本)9780819469502

The Antarctic is in very close relationship with the global climate, ecology environment, and the future of the human being. And it is unscientific to explore the Antarctic without any touch. While, crevasse is one of the most dangerous factors to the team members during the field expedition. Crevasse detection is very important in polar scientific research expedition for the safety;meanwhile, it is also meaningful information for ice flow monitoring. This paper presents the preliminary study on ice crevasse texture analysis and recognition based on SPOT image and coherence map derived from SAR image of Grove Mountains, east Antarctica. Since radar can penetrate the snow, it can detect the crevasse under the snow which can't be detected by optical satellite data. Based on the texture characteristics, gray level cooccurrence matrix is chosen at first to recognize the crevasse in SPOT image and coherence map respectively. And the results and the difference are analyzed. Optical and radar imagery both are valuable, however, there is no single sensor that gives 100 percent of the crevasses. Meanwhile, gray level co-occurrence matrix method can not detect the crevasse at 100 percent accuracy. More texture analysis method will be studied in further research.

关键词： image analysis

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Mapping soil total nitrogen of cultivated land at county scale by using hyperspectral image 10

Mapping soil total nitrogen of cultivated land at county sca...

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10th International Symposium on multispectral image Processing and Pattern recognition (mippr) - multispectral image acquisition, Processing, and analysis (mippr)

作者： Gu, Xiaohe Zhang, Li Yan Shu, Meiyan Yang, Guijun Beijing Res Ctr Informat Technol Agr Beijing 100097 Peoples R China

ISBN: (数字)9781510617186

ISBN: (纸本)9781510617186;9781510617179

Monitoring total nitrogen content (TNC) in the soil of cultivated land quantitively and mastering its spatial distribution are helpful for crop growing, soil fertility adjustment and sustainable development of agriculture. The study aimed to develop a universal method to map total nitrogen content in soil of cultivated land by HSI image at county scale. Several mathematical transformations were used to improve the expression ability of HSI image. The correlations between soil TNC and the reflectivity and its mathematical transformations were analyzed. Then the susceptible bands and its transformations were screened to develop the optimizing model of map soil TNC in the Anping County based on the method of multiple linear regression. Results showed that the bands of 14th, 16th, 19th, 37th and 60th with different mathematical transformations were screened as susceptible bands. Differential transformation was helpful for reducing the noise interference to the diagnosis ability of the target spectrum. The determination coefficient of the first order differential of logarithmic transformation was biggest (0.505), while the RMSE was lowest. The study confirmed the first order differential of logarithm transformation as the optimal inversion model for soil TNC, which was used to map soil TNC of cultivated land in the study area.

关键词： HJ-HSI soil total nitrogen multiple linear regressions hyperspectral image cultivated land

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Application of a registration method based on SVD in detecting moving object of dynamic background

Application of a registration method based on SVD in detecti...

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5th International Symposium on multispectral image Processing and Pattern recognition

作者： Zhao, Danpei An, Meng Jiang, Zhiguo Beijing Univ Aeronaut & Astronaut Sch Astronaut Dept Image Processing Ctr Beijing 100083 Peoples R China

ISBN: (纸本)9780819469502

This paper proposes a method used to detect big moving object in the complicated dynamic background, which integrates the phase correlation technique including singular value decomposition and the method in which multi-frames difference images is multiplied. The phase correlation algorithm based on singular value decomposition is insensitive to noise and change of gray and contrast. Comparing with many complex phase correlation algorithm and registration algorithm in spatial domain, our method not only can effectively restrain noise, but also enhancing the registration precision, whose speed is nearly two times as quickly as original phase correlation algorithm. The fact is found by the result of experiment that the phase correlation matrix is rank one for a noise-free rigid translation model. A new phase correlation matrix is recast based on the property which can effectively restrain noise and change of gray. By estimating global moving vector of two images using phase correlation based on singular value decomposition, background is accurately matched. The matched images are processed to calculate the image differences between the first and fourth, the second and fifth, the third and sixth. After these difference images are multiplied, clear edge of moving object is obtained. Thus the accurate location of object is realized by calculating barycentre of image. At last, simulation results prove that this proposed method can overcome effectiveness well in the lighting variations and noise. It is also efficient and applicable for accurate moving object orientation in the complicated dynamic background.

关键词： dynamic background singular value decomposition phase correlation big moving object multi-frames differences multiplication

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