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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 {2. of information engineering in surveying,mapping and remote sensing,wuhan university,{12.,China 2.Satellite of surveying and mapping Application center,state Bureau of surveying and mapping,Beijing 100830,China 3 School of Printing and Packaging,wuhan university,{12.,China wuhan Univ State Key Lab Informat Engn Surveying Mapping & R Wuhan 430079 Peoples R China state Bur surveying & {2. 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 dea{2.ng 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

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 {2. laboratory of {2. engineering in surveying,mapping and remote sensing,wuhan university,wuhan 430079,China 2.state {2. laboratory of Subtropical Building Science,South China university of Technology,Guangzhou 510640,China 1. state key {2. of {2. engineering in surveying Mapping and Remote Sensing Wuhan University Wuhan 430079 China 2. state key {2. of Subtropical Building Science 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 {2. and low frequency {2. 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

Image City sharing platform and its typical applications

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Science China(information Sciences) 2011年第8期54卷 1738-1746页

作者： SHAO ZhenFeng & li DeRen state {2. laboratory for {2. engineering in surveying,mapping and remote sensing,wuhan university,wuhan 430079,China 1. state key {2. for {2. engineering in surveying Mapping and Remote Sensing Wuhan University Wuhan 430079 China

In this paper,the trend of urban spatial information sharing service from the electronic map to image is analyzed and its sharing framework based on service-oriented architecture is ***,the service implementation,feedback data service procedure and its processing service model are explored. Based on the software with independent intellectual property rights,image city of Taizhou is developed as an example to realize various image data and processing servicesLastly,the bright future prospects of image city are described.

关键词： Image City service-oriented architecture image data service function service model service

Post-earthquake assessment of building damage degree using liDAR data and imagery

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Science China(Technological Sciences) 2008年第S2期51卷 133-143页

作者： li ManChun1,CHENG liang1,2.GONG JianYa2.liU YongXue1,CHEN ZhenJie1,li FeiXue1,CHEN Gang1,CHEN Dong1 & SONG XiaoGang3 1 Department of Geographic information Science,Nanjing university,Nanjing 2.0093,China 2.{2. key laboratory of information engineering in surveying,{12.,wuhan university,wuhan 430079,China 3 {2. key laboratory of Earthquake Dynamics,Institute of Geology,China Earthquake Administration,Beijing 10002.,China Department of Geographic information Science Nanjing University Nanjing 210093 China state key {2. of {2. engineering in surveying Mapping and Remote Sensing Wuhan University Wuhan 430079 China state key {2. of Earthquake Dynamics Institute of Geology China Earthquake Administration Beijing 100029 China

Various methods have been developed to detect and assess building's damages due to earthquakes using remotely sensed *** the launch of the high resolution sensors such as IKONOS and QuickBird,it becomes realistic to identify damages on the scale of individual *** the low accuracy of the results has often led to the use of visual interpretation ***,it is very difficult to estimate the degree of building damage(*** damage,moderate damage,or severe damage) in detail using the existing ***,a novel approach integrating liDAR data and high resolution optical imagery is proposed for evaluating building damage degree *** approach consists of two steps:3D building model reconstruction and rooftop patch-oriented 3D change ***,a method is proposed for automatically reconstructing 3D building models with precise geometric position and fine details,using pre-earthquake liDAR data and high resolution ***,focusing on each rooftop patch of the 3D building models,the pre- and post-earthquake liDAR points belonging to the patch are collected and compared to detect whether it was destroyed or not,and then the degree of building damage can be identified based on the ratio of the destroyed rooftop patches to all rooftop *** novelty of the proposed approach is to detect damages on the scale of building's rooftop patch and realize quantitative estimation of building damage degree.

关键词： post-earthquake assessment building damage degree rooftop patch liDAR imagery

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

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Science China(information Sciences) 2011年第4期54卷 732-744页

作者： SHAO ZhenFeng,li DeRen & ZHU XianQiang state {2. laboratory for {2. engineering in surveying,mapping and remote sensing,wuhan university,12. Luoyu Road,wuhan 430079,China 1. state key {2. for {2. 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

GRACE detection of the medium-to far-field coseismic gravity changes caused by the 2.04 Mw9.3 Sumatra-Andaman earthquake

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Earthquake Science 2012年第3期25卷 235-240页

作者： Jin li1,2.3 and Wenbin Shen1,3,4, 1 Department of Geophysics, School of Geodesy and Geomatics, wuhan university, {2., China 2.key {2. of Geodynamic Geodesy of Chinese Academy, wuhan 430077, China 3 key {2. of Geospace Environment and Geodesy (Ministry of Education), wuhan university, {2., China 4 state key {2. of information engineering in surveying, mapping and remote sensing, {2., China 1. Department of Geophysics School of Geodesy and Geomatics Wuhan University Wuhan 430079 China 2. key laboratory of Geodynamic Geodesy of Chinese Academy Wuhan 430077 China 3. key laboratory of Geospace Environment and Geodesy (Ministry of Education) Wuhan University Wuhan 430079 China 4. state key {2. of {2. engineering in surveying Mapping and Remote Sensing Wuhan 430079 China

Large earthquakes cause observable changes in the Earth’s gravity field, which have been detected by the Gravity Recovery and Climate Experiment (GRACE). Since most previous studies focus on the detection of near-field gravity effects, this study provides the results from the medium- to far-field gravity changes caused by the 2.04 Sumatra-Andaman earthquake that are recorded within GRACE monthly solutions. Utilizing a spherical-earth dislocation model we documented that large-scale signals predominate in the global field of the coseismic gravity changes caused by the earthquake. After removing the near-field effects, the coseismic gravity changes show a negative anomaly feature with an average magnitude of -0.18×10-8 m·s-2.in the region ranging ～40° from the epicenter, which is considered as the 'medium ffield' in this study. From the GRACE data released by Center for Space Research from August 2.02.to December 2.08, we retrieved the large-scale gravity changes smoothed with 3 000 km Gaussian ffilter. The results show that the coseismic gravity changes detected by GRACE in the medium field have an average of (-0.2.±0.06)×10-8 m·s-2. which agrees with the model prediction. The detection confirms that GRACE is sensitive to large-scale medium-field coseismic gravitational effects of mega earthquakes, and also validates the spherical-earth dislocation model in the medium field from the perspective of satellite gravimetry.

关键词： GRACE medium-to far-field coseismic gravity change 2.04 Sumatra-Andaman earthquake spherical-Earth dislocation model

Processing Approach of Non-linear Adjustment Models in the Space of Non-linear Models

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Geo-Spatial information Science 2003年第2期6卷 25-30页

作者： li Chaokui ZHU Qing SONG Chengfangli Chaokui,associate professor,Ph.D,{2. key laboratory of {2. engineering in surveying,mapping and remote sensing,wuhan university,12. Luoyu Road,wuhan 430079,China. state key {2. of {2. engineering in surveying Mapping and Remote Sensing Wuhan University

This paper investigates the mathematic features of non-linear models and discusses the processing way of non-linear factors which contributes to the non-linearity of a non-linear model. On the basis of the error definition,this paper puts forward a new adjustment criterion, ***,this paper investigates the solution of a non-linear regression model in the non-linear model space and makes the comparison between the estimated values in non-linear model space and those in linear model space.

关键词： non-linear adjustment model model space multi-robustness

Unraveling adaptive changes in electric vehicle charging behavior toward the postpandemic era by federated meta-learning

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The Innovation 2024年第2期5卷 21-23页

作者： linlin You Rui Zhu Mei-Po Kwan Min Chen Fan Zhang {2. yang Man Sing Wong Zheng Qin School of Intelligent Systems engineering Sun Yat-Sen UniversityShenzhen 518107China Institute of High Performance Computing(IHPC) Agency for ScienceTechnology and Research(A*STAR)1 Fusionopolis WaySingapore 138632Republic of Singapore Institute of Space and Earth information Science Chinese University of Hong KongHong KongChina key laboratory of Virtual Geographic Environment(Ministry of Education) Nanjing Normal UniversityNanjing 210023China Institute of remote sensing and Geographical {2. System School of Earth and Space SciencesPeking UniversityBeijing 100871China state key {2. of {2. engineering in surveying Mappingand Remote SensingWuhan UniversityWuhan 430079China Department of Land surveying and Geo-Informatics The Hong Kong Polytechnic UniversityHong KongChina

Dear Editor,Electric vehicle(EV)sales have significantly grown over the years to fulfill growing demands for economic travel and greenhouse gas mitigation.1 However,the surge in the number of EVs has led to charging anxiety as users struggle to find an available charging station before running out of electricity,resulting in longer reserve and waiting times.2.Moreover,severe mobility restrictions caused by infectious diseases,such as coronavirus disease 2.19(COVID-19),have greatly affected people’s travel behavior3,4 and hindered their willingness to use EVs,given that charging in public spaces consumes time and increases the risk of contracting the virus.5 This implies that in the postpandemic era,in which individuals coexist with the virus,the interplay between the two important trends,namely vehicle electrification and mobility restrictions,can extensively affect people’s daily commuting by using EVs.

关键词： travel behavior charging

A robust and rapid algorithm for generating and transmitting multi-resolution three-dimensional models

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Chinese Science Bulletin 2006年第8期51卷 987-993页

作者： yang bisheng {2. {2. GONG Jianya state key {2. of {2. engineering in surveying Mappingand Remote Sensing Wuhan University Wuhan 430079 China

Recent advances in 3D spatial data capture, such as high resolution satellite images and laser scanning as well as corresponding data proc- essing and modeling technologies, have led to the generation of large amounts of datasets on terrains, buildings, roads and other features. The rapid trans- mission and visualization of 3D models has become a ‘bottleneck’ of internet-based applications. This paper proposes a robust algorithm to generate multi-resolution models for rapid visualization and network transmission of 3D models. Experiments were undertaken to evaluate the performance of the proposed algorithm. Experimental results demon- strate that the proposed algorithm achieves good performance in terms of running speed, accuracy, encoding of multi-resolution models, and network transmission.

关键词：网络传输三维模型遗传算法可视化