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检索条件"任意字段=MIPPR 2007: Automatic Target Recognition and Image Analysis;and Multispectral Image Acquisition"

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ISAR image Visualization for Aerospace targets 11

ISAR Image Visualization for Aerospace Targets

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11th International Symposium on multispectral image Processing and Pattern recognition (mippr) - multispectral image acquisition, Processing, and analysis (mippr)

作者： Liu, Yang Li, Gang SHi, Si Zhang, Chi Li, Bingning Xian Satellite Control Ctr Xian 710043 Shaanxi Peoples R China 31011 Troops PLA Beijing Peoples R China

ISBN: (纸本)9781510636347

Due to the large dynamic range and low contrast, inverse synthetic aperture radar (ISAR) image is not appropriate for human observation. In order to output and display the target imaging results, a procedure which compresses the dynamic range of the raw images into a lower range is necessary. In this paper, by analyzing the histogram of original ISAR images, the characteristics of ISAR images are investigated. Given the sparse amplitude distribution of original ISAR image and the shortcomings existing in the sparse linear histogram, this paper proposes an ISAR image detail enhancement algorithm (ISARIDE) based on histogram equalization and dynamic range compression. The advantage of the proposed method is that it can retain the target structure infounation, and improve the visual effect of human eye to target details as soon as possible. The proposed algorithm was tested on the simulated data and real data. The selected target is a flying Boeing *** results show the validity of the algorithm.

关键词： inverse synthetic aperture radar (ISAR) dynamic range compression (DRC) image detail enhancement visualization aerospace targets

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Research on target salient region unmixing method 11

Research on target salient region unmixing method

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11th International Symposium on multispectral image Processing and Pattern recognition: multispectral image acquisition, Processing, and analysis, mippr 2019

作者： Lv, Siman Zhang, Tianxu Dong, Shuai Wuhan Institute of Technology Wuhan430205 China Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9781510636330

Because the structure of the moving target in the air is complex and its composition is not single, it is impossible to simply regard the measured spectral signal as the sum of all parts. For spectral acquisition of complex small target in salient region, a target saliency region unmixing method is innovatively proposed in this paper. The abundance information of sky background, target region and salient regions was obtained by analyzing the infrared image. According to the measured spectra and their weighted linear combination relationship, the precise spectral signal of the target saliency region can be estimated. The experimental results show that, through this method, the spectra of each salient regions on the target is more accurate and have more abundant details. The comprehensive judgment result of each salient regions spectra can effectively improve the target recognition accuracy. © 2020 SPIE.

关键词： Iterative methods

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Coherent ISAR imaging based on phase matching processing of complex range profile for procession space target 11

Coherent ISAR imaging based on phase matching processing of ...

引用

11th International Symposium on multispectral image Processing and Pattern recognition (mippr) - multispectral image acquisition, Processing, and analysis (mippr)

作者： Kang, Hongyan Tian, Biao Liu, Yongxiang Natl Univ Def Technol Tech Serv Ctr Vocat Educ Changsha Peoples R China Natl Univ Def Technol Coll Elect Sci & Technol Changsha Peoples R China

ISBN: (纸本)9781510636347

In order to improve the inverse synthetic aperture radar (ISAR) imaging quality of precession space target, an algorithm based on phase matching processing (PMP) of complex range profile envelope (CRPE) is proposed in this paper. By phase matching processing, only the echo components located at the scattering points corresponding to the main body of the warhead can be coherently accumulated. The echoes of other scattering centers without any coherence will cancel each other when they are transformed. Hence, the focusing of scatters centers of the warhead main body is improved and the interference caused by non-spin symmetric components is well suppressed. Simulation results confirmed the effectiveness of the method.

关键词： inverse synthetic aperture radar precession space target phase matching processing complex range profile envelope

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A Fast Color Cast Detection and Correction Method for Large-field Video-image in Nature Scene 10

A Fast Color Cast Detection and Correction Method for Large-...

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

作者： Hong, Ke Shi, Yu Hua, Xia Wuhan Inst Technol Lab Image Proc & Intelligent Control Wuhan 430074 Hubei Peoples R China

ISBN: (数字)9781510617186

ISBN: (纸本)9781510617186;9781510617179

Color cast is a major problem of target detection and recognition base on image feature analysis. A color cast detection and correction algorithm for video-image in nature scene is proposed in this paper. To overcome the inaccurate detection in existed color cast detection method based on RGB space,the analysis method based on the color distribution characteristics of the equivalent circle in Lab space is proposed. In order to achieve better color correction results, the gray balance and perfect reflection method is combined to reproduce the actual color of the objects, especially a modified method for images with severe color deviation. Experimental results show that the proposed methods can detect the degree of color cast correctly, achieve better correction results, and meet the real-time requirements.

关键词： color cast detection color correction image enhancement real-time

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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...

引用

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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Object detection in side scan sonar 9

Object detection in side scan sonar

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

作者： Wang Wenwu Cheng Binbin Chen Yao Wuhan Univ Sci & Technol Sch Informat Sci & Engn Wuhan 430081 Peoples R China China Shipbldg Ind Corp R&D Inst 710 Yichang 443003 Peoples R China

ISBN: (纸本)9781510600522

automatic target detection is a challenging task as the response from an underwater target may vary greatly depending on its configuration, sonar parameters and the environment. We propose a Z-test algorithm for target detection in side scan sonar image which avoids this problem that covers the variation in the target response. A Z-test is performed on the means of the pixel gray levels within and outside the window area, a detection being called when the value of test statistic feature exceeds a certain threshold. The algorithm is formulated for real-time execution on limited-memory commercial-of-the-shelf platforms and is capable of detection objects on the seabed-bottom.

关键词： target detection Z-test statistic feature side scan sonar

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automatic human micro-Doppler signature separation by Hough transform 9

Automatic human micro-Doppler signature separation by Hough ...

引用

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

作者： Zhang, Jun Jin, Tian Qiu, Lei Zhou, Zhimin Natl Univ Def Technol Coll Elect Sci & Engn Changsha 410073 Hunan Peoples R China Collaborat Innovat Ctr Informat Sensing & Underst Xian 710071 Peoples R China

ISBN: (纸本)9781510600522

The micro-Doppler signature is one of the most prominent information for target classification and identification. As Hough transform (HT) is an efficient tool for detecting weak straight target traces in the image, an HT based algorithm is proposed for micro-Doppler signature separation of multiple persons. Few seconds data is processed at one time to ensure human motion traces approximate to straight lines in the radar slow time-range image. Taking HT to the slow time-range image, each human's motion trace can be recovered through recursively searching the peaks in HT space. Applying time-frequency transform to the range cells around each recovered line, the human micro-Doppler signature can be achieved and separated. Experimental results are given to illustrate the validity of the proposed algorithm.

关键词： Slow time-range image motion trace micro-Doppler signature short time Fourier transform Ku band radar

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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...

引用

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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ISAR imaging based on Sparse subbands fusion 9

ISAR imaging based on Sparse subbands fusion

引用

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

作者： Li, Gang Tian, Biao Xu, Shiyou Chen, Zengping Natl Univ Def Technol Sci & Technol Automat Target Recognit Lab ATR Changsha 410073 Hunan Peoples R China

ISBN: (纸本)9781510600522

Data fusion using subbands, which can obtain a higher range resolution without altering the bandwidth, hardware, and sampling rate of the radar system, has attracted more and more attention in recent years. A method of ISAR imaging based on subbands fusion and high precision parameter estimation of geometrical theory of diffraction (GTD) model is presented in this paper. To resolve the incoherence problem in subbands data, a coherent processing method is adopted. Based on an all-pole model, the phase difference of pole and scattering coefficient between each sub-band is used to effectively estimate the incoherent components. After coherent processing, the high and low frequency sub-band data can be expressed as a uniform all-pole model. The gapped-data amplitude and phase estimation (GAPES) algorithm is used to fill up the gapped band. Finally, fusion data is gained by high precision parameter estimation of GTD-all-pole model with full-band data, such as scattering center number, scattering center type and amplitude. The experimental results of simulated data show the validity of the algorithm.

关键词： ISAR imaging subbands geometrical theory of diffraction (GTD) parameter estimation

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analysis and evaluation for the robustness of feature detection algorithm in medium-wave infrared scene

Analysis and evaluation for the robustness of feature detect...

引用

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

作者： Tang, Yan Yang, Weidong Zhao, Ge Zou, Lamei Huazhong Univ Sci & Technol Natl Key Lab Sci & Technol Multispectral Informat Sch Automat Wuhan 430074 Peoples R China

ISBN: (纸本)9780819498021

target recognition in natural scenes generally uses the remote sensing image preparation for the matching feature template. image match system finds correspondence between real image and remote sensing image and then output the target position parameters to the aircraft. How to quantitative analysis and evaluate the robustness of the infrared features, and to determine the available features in infrared image matching recognition algorithm is one of the keys of the ground target recognition in complex scenes. In this paper, we built a feature robustness evaluation model for typical match identifying by analyzing for the robustness of features extracted from typical terrains and targets in various condition. Combined with France SE-Workbench-IR simulation platform, we designed a special scene simulation development process, in case of lack of terrain generation module, it also can generate MWIR natural scene image. By analyzing the simulation image and real-time image in the same condition, we can gain the variation information from infrared radiation characteristic in different natural condition. Finally, we verify and assess the robustness of the matching features.

关键词： feature analysis robustness evaluation scene simulation infrared radiation characteristic SE-Workbench

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