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A multi-scale and multi-orientation image retrieval method based on rotation-invariant texture features

science china(Information sciences) 2011年第4期54卷 732-744页

作者： SHAO ZhenFeng,LI DeRen & ZHU XianQiang state key laboratory for Information Engineering in Surveying,Mapping and {3. sensing,Wuhan University,129 Luoyu Road,Wuhan 43.079,china 1. state key laboratory for Information Engineering in Surveying Mapping and Remote Sensing Wuhan University 129 Luoyu Road Wuhan 430079 China

Texture retrieval is a vital branch of content-based image ***-invariant texture retrieval plays a key role in texture *** paper addresses three major issues in rotation-invariant texture retrieval: how to select the texture measurement methods,how to alleviate the influence of rotation for texture retrieval and how to apply the proper multi-scale analysis theory for texture ***,the spectrum influence between a Radon transform and a Log-polar transform was compared after the rotation effect was *** average retrieval performance of wavelet and NSCT with different retrieval parameters was also *** on such analysis,we developed a multi-scale and multi-orientation texture transform spectrum,as well as a rotation-invariant feature vector and its measurement criteria,which can represent the human visual perception sensitive to texture *** a new rotation-invariant texture retrieval algorithm was *** algorithm was developed based on non-parametric statistical features and it applies low band and high frequency directional bands of NSCT coefficients for coarse filtering and fine retrieval,*** on the Brodatz image database show that the constructed rotation-invariant feature vector is appropriate for capturing major orientations and describing detail ***,the combination of the two-step progressive retrieval strategy and multi-scale analysis method can effectively improve retrieval efficiency while ensuring a high precision compared with traditional algorithms.

关键词： NSCT Log-polar Radon rotation-invariant texture retrieval

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Radiometric cross-calibration of the CBERS-02 CCD camera with the TERRA MODIS

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science china(Technological sciences) 2005年第S2期48卷 44-60页

作者： LI Xiaoying1,2,3. GU Xingfa1,3.4, MIN Xiangjun5, YU Tao1,3. FU Qiaoyan5, ZHANG Yong1,2,3.& LI Xiaowen1,3.1. state key laboratory of {3. sensing science, Jointly Sponsored by the institute of remote sensing applications of Chinese Academy of sciences and Beijing Normal University, Beijing 100101, china 2. Graduate University of Chinese Academy of sciences, Beijing 10003., china 3. The Center for National Spaceborne Demonstration, Beijing 100101, china 4. Institut National de la Recherche Agronomique, Climat Sol Environnement, 84914 Avignon, France 5. china Center for Resource Satellite Data and Application, Beijing 10083., china 1. state key laboratory of {3. sensing science Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University 100101 Beijing China 2. Graduate University of Chinese Academy of sciences 100039 Beijing China 3. The Center for National Spaceborne Demonstration 100101 Beijing China 4. Institut National de la Recherche Agronomique Climat Sol Environnement 84914 Avignon France 5. china Center for Resource Satellite Data and Application 100830 Beijing China

For the application of the CCD camera, the most important payload on CBERS-02, the key is to provide long-term stable radiometric calibration coefficients. Although the vicarious calibration had been proved successful, it had its limitations such as test site requirement and unsuitable for historical data. Cross-calibration is one of the alternative methods, but it needs synchro surface spectrum to achieve spectral band matching factors. Our effort is to probe the influences on these factors. Simulations with a lot of surface spectrum showed that the factors changed with the viewing geometry, atmospheric condition and surface targets. However, simulating with the same viewing geometry and atmospheric condition, the spectral band matching factors of the same or similar surface targets’ spectrum acquired from different dates and different places would like to be consistent to each other within 1%―5%. Thus, the synchro measurement data can be substituted by the same or similar target from other source. Based on this method, using the MODIS as the reference, the cross-calibration was performed for CCD camera. The research demonstrated that the traditional method with single calibration site was inappropriate for CCD camera, since the offsets for its four spectral bands were not zeros. With four calibration sites, these offsets were obtained. And the camera was detected to degrade with dates based on four times of cross-calibrations.

关键词： CBERS-02 CCD camera cross-calibration the spectral band matching factors.

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A hybrid matching method for geospatial services in a composition-oriented environment

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science china(Technological sciences) 2010年第S1期53卷 213-220页

作者： LUO An 1,2,WANG YanDong 1,2 & CHEN ShengHua 2 1 state key laboratory of Software Engineering,Wuhan University,Wuhan 43.072,{3. 2 state key laboratory of Information Engineering in Surveying,Mapping and remote sensing,Wuhan University,Wuhan 43.079,{3. 1. state key laboratory of Software Engineering Wuhan University Wuhan 430072 China 2. state key laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan 430079 China

With the development of Internet and GIS,large volumes of spatial data,powerful computing resources and many spatial data processing functions are published in the form of Web *** suitable geospatial services in the composition-oriented environment is a crucial *** semantic Web provides a kind of technology to find and compose various service resources automatically through the *** paper proposes a hybrid method for the semantic matching of geospatial *** method includes two *** 1 puts forward a multi-level semantic matching approach,which matches single geospatial service at four levels:classification,input/output,precondition/effect and the quality of service(QoS).This multi-level matching approach makes single service matching quicker and more *** 2 puts forward a matching algorithm for a geospatial service chain based on the *** algorithm adopts a trace algorithm,taking account of the effect of the *** restricts the input/output parameters of the current service by the input/output parameters of service chain,pre-service and *** matches the atomic service dynamically in a composition-oriented environment,and accurately converts the abstract model of geospatial services into an executable geospatial service chain.A case study of the flood analysis for the Poyang Lake illustrates the effectiveness of our context-based matching method for geospatial services.

关键词： geospatial services semantic context composition service match

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Integrating genetic algorithm method with neural network for land use classification using SZ-3.CMODIS data

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Progress in Natural science:Materials International 2005年第10期 75-80页

作者： WANG Changyao, LUO Chengfeng and LIU Zhengjun (The state key laboratory of {3. sensing sciences, institute of {3. sensing applications, Chinese Academy of sciences, Beijing 100101, china institute of Photogrammetry and {3. sensing, Chinese Academy of Surveying and Mapping, Beijing 10003., china) The state key laboratory of {3. sensing sciences Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing 100101 China institute of Photogrammetry and remote sensing Chinese Academy of Surveying and Mapping Beijing 100039China

This paper presents a methodology on land use mapping using CMODIS (Chinese Moderate Resolution Imaging Spec-troradiometer) data on-board SZ-3.(Shenzhou 3. spacecraft. The integrated method is composed of genetic algorithm (GA) for feature extraction and neural network classifier for land use classification. In the data preprocessing, a moment matching method was adopted to remove the stripes in the images. Then by using the reproduction, crossover and mutation operators of GA based on the mechanism of "natural selection", and with Jeffries-Matusita distance as its discriminate rule and the training samples, the optimal band combination for land use classification was obtained. To generate a land use map, the three layers back propagation neural network classifier is used for training the samples and classification. Compared with the Maximum Likelihood classification algorithm, the results show that the accuracy of land use classification is obviously improved by using our proposed method, the selected band number in the classification process is reduced, and the computational performance for training and classification is improved. The result also shows that the CMODIS data can be effectively used for land use/land cover classification and change monitoring at regional and global scale.

关键词： CMODIS genetic algorithm band selection neural network land use classification.

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A new approach toward object-based change detection

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science china(Technological sciences) 2010年第S1期53卷 105-110页

作者： ZHANG Guo1,2,LI Yang1 & LI ZhiJiang3.1 state key laboratory of Information Engineering in Surveying,Mapping and {3. sensing,Wuhan University,Wuhan 43.079,china 2 Satellite of Surveying and Mapping Application center,state Bureau of Surveying and Mapping,Beijing 10083.,china 3.School of Printing and Packaging,Wuhan University,Wuhan 43.079,china Wuhan Univ State Key Lab Informat Engn Surveying Mapping & R Wuhan 430079 Peoples R China state Bur Surveying & Mapping Satellite Surveying & Mapping Applicat Ctr Beijing 100830 Peoples R China Wuhan Univ Sch Printing & Packaging Wuhan 430079 Peoples R China

Object-based change detection has been the hotspot in remote sensing image processing.A new approach toward object-based change detection is *** two different temporal images are unitedly segmented using the mean shift procedure to obtain corresponding *** change detection is implemented based on the integration of corresponding objects’ intensity and texture *** are conducted on both panchromatic images and multispectral images and the results show that the integrated measure is robust with respect to illumination changes and *** color detection is conducted to determine whether the color of the unchanged objects changes or not when dealing with multispectral *** verification work is carried out to show the accuracy of the proposed approach.

关键词： mean shift united segmentation change detection object-based intensity texture integration

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Aerosol optical depth retrieval by HJ-1/CCD supported by MODIS surface reflectance data

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science china Earth sciences 2010年第S1期53卷 74-80页

作者： SUN Lin1,2,SUN ChangKui1,LIU QinHuo2 & ZHONG Bo2 1Geomatics College,Shandong University of science and Technology,Qingdao 266510,china 2state {3. laboratory of remote sensing science,Chinese Academy of sciences,Beijing 100101,china 1. Geomatics College Shandong University of Science and Technology Qingdao 266510 China2. State Key Laboratory of Remote Sensing Science Chinese Academy of Sciences Beijing 100101 China

The high spatial resolution and temporal observation frequency of HJ-1/CCD make it suitable for aerosol ***,because of the lack of a shortwave infrared band,it is difficult to use HJ-1/CCD imagery to retrieve aerosol optical depth(AOD).We developed a new algorithm for HJ-1/CCD AOD retrieval by introducing MODIS surface reflectance outputs(MOD09) as *** this algorithm HJ-1/CCD blue band surface reflectance was retrieved through MOD09 blue band surface reflectance by band matching of the two *** at 550 nm was then generated through a pre-calculated look-up table for HJ-1/*** HJ-1/CCD images covering the Jing-Jin-Tang(Beijing-Tianjin-Tangshan) region were used to retrieve AOD using the new algorithm,and the AODs were then validated using AERONET ground measurements in Beijing and *** validation shows that compared with AERONET ground measurements,27/29 AODs have error less than 0.1 in absolute value.

关键词： HJ-1/CCD surface reflectance spectrum conversion aerosol optical depth

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A new relative radiometric consistency processing method for change detection based on wavelet transform and a low-pass filter

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science china(Technological sciences) 2010年第S1期53卷 7-14页

作者： SUN KaiMin1,SUI HaiGang1,2,LI DeRen1 & XU Chuan1,2 1 state key laboratory of Information Engineering in Surveying,Mapping and {3. sensing,Wuhan University,Wuhan 43.079,china 2 state key laboratory of Subtropical Building science,South china University of Technology,Guangzhou 510640,china 1. state key laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan 430079 China 2. state key laboratory of Subtropical Building {3. South China University of Technology Guangzhou 510640 China

The research purpose of this paper is to show the limitations of the existing radiometric normalization approaches and their disadvantages in change detection of artificial objects by comparing the existing approaches,on the basis of which a preprocessing approach to radiometric consistency,based on wavelet transform and a spatial low-pass filter,has been *** approach first separates the high frequency information and low frequency information by wavelet ***,the processing of relative radiometric consistency based on a low-pass filter is conducted on the low frequency *** processing,an inverse wavelet transform is conducted to obtain the results *** experimental results show that this approach can substantially reduce the influence on change detection of linear or nonlinear radiometric differences in multi-temporal images.

关键词： wavelet transform radiometric normalization low-pass filter change detection

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A Restarted Conjugate Gradient Method for Ill-posed Problems

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Acta Mathematicae Applicatae Sinica 2003年第1期19卷 31-40页

作者： Yan-fei Wanglaboratory of remote sensing Information {3.s, institute of remote sensing applications, Chinese Academy of {3.s, P.O. Box 9718, Beijing 100101, chinastate key laboratory of Scientific and Engineering Computing, institute of Computational Mathematics and Scientific/Engineering computing, Chinese Academy of {3.s, P.O. Box 2719, Beijing 100080, china laboratory of remote sensing Information {3.s Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing China state key laboratory of Scientific and Engineering Computing Institute of Computational Mathematics and Scientific/Engineering computing Chinese Academy of Sciences Beijing China

Abstract This paper presents a restarted conjugate gradient iterative algorithm for solving ill-posed problems. The damped Morozov's discrepancy principle is used as a stopping rule. Numerical experiments are given to... 详细信息

关键词： keywords Ill-posed problems restarted CG damped discrepancy principle.

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Aerosol retrieval over land by exploiting the synergy of TERRA and AQUA MODIS DATA

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science china Earth sciences 2006年第6期49卷 641-649页

作者： TANG Jiakui1, XUE Yong1,2, YU Tong3. GUAN Yanning1, CAI Guoyin1 & HU Yincui1 1. state key laboratory of {3. sensing science, Jointly Sponsored by the institute of remote sensing applications of Chinese Academy of sciences and Beijing Normal University, Beijing 100101, china 2. Department of Computing, London Metropolitan University, 166-220 Holloway Road, London N7 8DB, UK 3. Beijing Environmental Monitor Center, Beijing 100044, china 1. state key laboratory of {3. sensing science Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University Beijing 100101 China 2. Department of Computing London Metropolitan University 166-220 Holloway Road London N7 8DB UK 3. Beijing Environmental Monitor Center Beijing 100044 China

Aerosol retrieval over land from satellite remotely sensed data remains internationally a difficult task. By using MODIS data, the Dark Dense Vegetation (DDV) algorithm aerosol distribution and properties retrieval over land has shown excellent competence. However, this algorithm is re-stricted to lower surface reflectance such as water bodies and dense vegetation, which limits its actual application, and is unable to be used for high reflective surface such as over urban areas. In this paper, we introduce a new aerosol retrieval model by exploiting the Synergy of TERRA and AQUA MODIS data (SYNTAM), which can be used for various ground surfaces, including for high reflective surface. Preliminary validations have been carried out by comparing with AERONET measured data, which shows good accuracy and promising potential. Further research work is undergoing.

关键词： aerosol retrieval, aerosol optical thickness, MODIS, TERRA, AQUA.

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Biomass estimation and uncertainty analysis based on CBERS-02 CCD camera data and field measurement

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science china(Technological sciences) 2005年第S2期48卷 116-128页

作者： CHEN Liangfu1,2, GAO Yanhua1,3. CHENG Yu1,3. WEI Zheng1,3. XIAO Qing1,4, LIU Qinhuo1, YU Tao1, LIU Qijing5, GU Xingfa1 & TIAN Guoliang1 1. state key laboratory of {3. sensing science, institute of {3. sensing applications, Chinese Academy of sciences, Beijing 100101, china 2. Geography and Environment College, Jiangxi Normal University, Nanchang 3.0027, china 3. Graduate University of Chinese Academy of sciences, Beijing 10003., china 4. Beijing Research institute of Uranium Geology, Beijing 100875, china 5. institute of Geographic sciences and Natural Resources Research, Chinese Academy of sciences, Beijing 100101, china 1. state key laboratory of {3. sensing science Institute of Remote Sensing Applications Chinese Academy of Sciences 100101 Beijing China 2. Geography and Environment College Jiangxi Normal University 330027 Nanchang China 3. Graduate University of Chinese Academy of sciences 100039 Beijing China 4. Beijing Research institute of Uranium Geology 100875 Beijing China 5. institute of Geographic sciences and Natural Resources Research Chinese Academy of Sciences 100101 Beijing China

The study site is located in Qianyanzhou experimental station and the surrounding area. Based on CBERS-02 satellite data and field measurement, we not only discussed the relationship between NDVI and biomass of two species of coniferous plantations, namely, Pinus massoniana Lamb and Pinus elliottii Engelm, but also introduced the biomass models based on NDVI. The comparison between measured biomass in Qianyanzhou and biomass derived from CBERS-02 CCD data showed that it is feasible to estimate biomass based on NDVI. But its limitations cannot be ignored. This kind of model depends on the dominant vegetation species. There are some effect factors in estimating biomass based on NDVI. This paper analyzes these factors based on fine-resolution CBERS-02 CCD data and some conclusions are drawn: In Qianyanzhou, the area with good vegetation coverage, the nonlinearity of NDVI has little influence on scaling-up of NDVI. As a result of surface heterogeneity, scaling-up can cause NDVI within each pixel to change. Because scaling-up can cause pixel attribute to change, the applicability of biomass model is one of the sources of error in estimating biomass.

关键词： NDVI biomass scaling effect scaling-up.

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