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| 1 | OpenRS-Cloud:A remote sensing image processing platform based on cloud computing environment显示文摘This paper explores the use of cloud computing for remote sensing image processing.The main contribution of our work is to develop a remote sensing image processing platform based on cloud computing technology(OpenRS-Cloud).This paper focuses on enabling methodical investigations into the development pattern,computational model,data management and service model exploring this novel distributed computing model.The experimental INSAR processing flow is implemented to verify the efficiency and feasibility of OpenRS-Cloud platform.The results show that cloud computing is well suited for computationally-intensive and data-intensive remote sensing services. | GUO Wei,GONG JianYa,JIANG WanShou,LIU Yi & SHE Bing State Key Laboratory for Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430074,China | 2010 | Science China(Technological Sciences)2010，53，S1： | 24 |
| 2 | Review of data storage and management technologies for massive remote sensing data显示文摘Aiming at the storage and management problems of massive remote sensing data,this paper gives a comprehensive analysis of the characteristics and advantages of thirteen data storage centers or systems at home and abroad. They mainly include the NASA EOS,World Wind,Google Earth,Google Maps,Bing Maps,Microsoft TerraServer,ESA,Earth Simulator,GeoEye,Map World,China Centre for Resources Satellite Data and Application,National Satellite Meteorological Centre,and National Satellite Ocean Application Service. By summing up the practical data storage and management technologies in terms of remote sensing data storage organization and storage architecture,it will be helpful to seek more suitable techniques and methods for massive remote sensing data storage and management. | LU XueFeng CHENG ChengQi GONG JianYa GUAN Li | 2011 | Science China(Technological Sciences)2011，54，12： | 21 |
| 3 | Photogrammetry and Deep Learning显示文摘Deep learning has become popular and the mainstream technology in many researches related to learning,and has shown its impact on photogrammetry.According to the definition of photogrammetry,that is,a subject that researches shapes,locations,sizes,characteristics and inter-relationships of real objects from optical images,photogrammetry considers two aspects,geometry and semantics.From the two aspects,we review the history of deep learning and discuss its current applications on photogrammetry,and forecast the future development of photogrammetry.In geometry,the deep convolutional neural network(CNN)has been widely applied in stereo matching,SLAM and 3D reconstruction,and has made some effects but needs more improvement.In semantics,conventional methods that have to design empirical and handcrafted features have failed to extract the semantic information accurately and failed to produce types of“semantic thematic map”as 4D productions(DEM,DOM,DLG,DRG)of photogrammetry.This causes the semantic part of photogrammetry be ignored for a long time.The powerful generalization capacity,ability to fit any functions and stability under types of situations of deep leaning is making the automatic production of thematic maps possible.We review the achievements that have been obtained in road network extraction,building detection and crop classification,etc.,and forecast that producing high-accuracy semantic thematic maps directly from optical images will become reality and these maps will become a type of standard products of photogrammetry.At last,we introduce our two current researches related to geometry and semantics respectively.One is stereo matching of aerial images based on deep learning and transfer learning;the other is precise crop classification from satellite spatio-temporal images based on 3D CNN. | Jianya GONG Shunping JI | 2018 | Journal of Geodesy and Geoinformation Science2018，1，1： | 19 |
| 4 | Current issues in high-resolution earth observation technology显示文摘This paper reviewed the developments of the last ten years in the field of international high-resolution earth observation, and introduced the developmental status and plans for China's high-resolution earth observation program. In addition, this paper expounded the transformation mechanism and procedure from earth observation data to geospatial information and geographical knowledge, and examined the key scientific and technological issues, including earth observation networks, high-precision image positioning, image understanding, automatic spatial information extraction, and focus services. These analyses provide a new impetus for pushing the application of China's high-resolution earth observation system from a 'quantity' to 'quality' change, from China to the world, from providing products to providing online service. | LI DeRen TONG QingXi LI RongXing GONG JianYa ZHANG LiangPei | 2012 | Science China Earth Sciences2012，55，7： | 18 |
| 5 | Multi-source geospatial information integration and sharing in Virtual Globes显示文摘Massive volumes of global geospatial information are being collected by newly designed acquisition devices and generated by various geospatial applications.This poses a critical challenge to efficiently organize and effectively integrate global multi-source geospatial information.This paper introduces a global seamless data model for the organization of huge multi-source,multi-resolution and multi-temporal geospatial data.Based on this data model,the management of the global multi-resolution pyramid is discussed in detail.To integrate geospatial data and processing functions from various GIS systems,a service-oriented framework is presented through the technology of Virtual Globe.Finally,a Virtual Globe system,GeoGlobe,is developed and illustrated. | GONG JianYa,XIANG LongGang,CHEN Jing & YUE Peng State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430072,China | 2010 | Science China(Technological Sciences)2010，53，S1： | 10 |
| 6 | A robust and rapid algorithm for generating and transmitting multi-resolution three-dimensional models显示文摘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. | YANG Bisheng LI Qingquan GONG Jianya | 2006 | Chinese Science Bulletin2006，51，8： | 8 |
| 7 | Deep neural network for remote-sensing image interpretation: status and perspectives显示文摘Deep neural networks(D N N s)refer to end-to-end mappings(i.e.from data to information)by stacking a large num ber of filters learned from massive samples.By courtesy of the comprehensive Earth observation platforms and convenient data access,remote-sensing practitioners are dealing with very large and ever-growing data volumes,which call for fast and transferrable machine-learning technologies for the large-scale geospatial information mining[l].While some progress has been made,research in deep-learning-based remote-sensing image interpretation is still in its infancy,mainly subject to insufficient annotation samples,high complexity of the model,and lack of in-depth integration between deep learning and remote sensing.Construction of diverse and representative remote-sensing benchmark datasets,further investigation on task-driven deep learning(i.e.the integration of deep learning and remotesensing physical mechanisms)and the efforts towards promoting the practicality of the networks should be considered in the agenda.In this context. | Jiayi Li Xin Huang Jianya Gong | 2019 | National Science Review2019，6，6： | 7 |
| 8 | Object-level change detection based on full-scale image segmentation and its application to Wenchuan Earthquake显示文摘Aiming at object fragmentation and poor detection results caused by discontinuous segmentation scale in object-level change detection,a new object-level change detection method based on the full-scale object tree is presented in this paper.The core idea of this new algorithm is to establish the full-scale object tree based on convexity model theory and integrate full-scale image segmentation techniques and change detection into the whole process.Some Wenchuan Earthquake images are taken as an example to discuss the new method for earthquake damage detection and evaluation in urban area,landslide detection,and extraction of barrier lake boundary.The application shows that the new method is robust and it provides an advanced tool for the quantitative detection and evaluation of earthquake damage. | GONG JianYa,SUI HaiGang,SUN KaiMin,MA GuoRui & LIU JunYi State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430072,China | 2008 | Science China(Technological Sciences)2008，51，S2： | 7 |
| 9 | Geospatial Service Web:towards integrated cyberinfrastructure for GIScience显示文摘A geospatial cyberinfrastructure is needed to support advanced GIScience research and education activities.However,the heterogeneous and distributed nature of geospatial resources creates enormous obstacles for building a unified and interoperable geospatial cyberinfrastructure.In this paper,we propose the Geospatial Service Web(GSW)to underpin the development of a future geospatial cyberinfrastructure.The GSW excels over the traditional spatial data infrastructure by providing a highly intelligent geospatial middleware to integrate various geospatial resources through the Internet based on interoperable Web service technologies.The development of the GSW focuses on the establishment of a platform where data,information,and knowledge can be shared and exchanged in an interoperable manner.Theoretically,we describe the conceptual framework and research challenges for GSW,and then introduce our recent research toward building a GSW.A research agenda for building a GSW is also presented in the paper. | GONG Jianya WU Huayi ZHANG Tong GUI Zhipeng LI Zhenlong YOU Lan SHEN Shengyu ZHENG Jie GENG Jing QI Kunlun YANG Wenjing LI Zhenqiang YU Jingmin | 2012 | Geo-Spatial Information Science2012，15，2： | 5 |
| 10 | DESIGN AND IMPLEMENTATION OF AN INTERNET GIS显示文摘The development of Internet provides convenient environment for information searching and browsing.It also offers a new platform for geographic information processing and analysis.This paper discusses organization and processing approach to Internet geographic information,and provides a new method to cross_platform and distributed geographic information and its software implementation.The example is used to show the practicality and superiority of this method. | GONG Jianya | 2001 | Geo-Spatial Information Science2001，4，2： | 5 |
| 11 | Development,application,and prospects for Chinese land observation satellites显示文摘The launching of CBERS-01(China Brazil Earth Resource Satellite)in 1999,China’s first land observation satellite,signifies an unprecedented milestone in Chinese satellite remote sensing history.Since then,a large number of applications have been developed that drew upon solely CBERS-01 and other Chinese land observation satellites.The application development evolves from one satellite to multiple satellites,from one series of satellites to multiple series,from scientific research to industrial applications.Six aspects of the Chinese land observation satellite program are discussed in this paper:development status,data sharing and distribution,satellite calibration,industrial data applications,future prospects,and conclusion. | Wen XU Jianya GONG Mi WANG | 2014 | Geo-Spatial Information Science2014，17，2： | 5 |
| 12 | DATA MODEL AND VISUALIZATION OF 3D CITY LANDSCAPE BASED ON INTEGRATED DATABASES显示文摘Data acquisition and modeling are the two important, difficult and costful aspects in a Cybercity project. 2D-GIS is mature and can manage a lot of spatial data. Thus 3D-GIS should make the best of data and technology of 2D-GIS. Construction of a useful synthetic environment requires integration of multiple types of information like DEM, texture images and 3D representation of objects such as buildings. In this paper, the method for 3D city landscape data model and visualization based on integrated databases is presented. Since the data volume of raster are very huge, special strategies(for example, pyramid gridded method) must be adopted in order to manage raster data efficiently. Three different methods of data acquisition, the proper data structure and a simple modeling method are presented as well. At last, a pilot project of Shanghai Cybercity is illustrated. | Li Deren Wang Yandong Zhu Qing Gong Jianya | 1999 | Geo-Spatial Information Science1999，2，1： | 5 |
| 13 | Advances in urban information extraction from high-resolution remote sensing imagery显示文摘The study of urban area is one of the hottest research topics in the field of remote sensing. With the accumulation of high-resolution(HR) remote sensing data and emerging of new satellite sensors, HR observation of urban areas has become increasingly possible, which provides us with more elaborate urban information. However, the strong heterogeneity in the spectral and spatial domain of HR imagery brings great challenges to urban remote sensing. In recent years, numerous approaches were proposed to deal with HR image interpretation over complex urban scenes, including a series of features from low level to high level, as well as state-of-the-art methods depicting not only the urban extent, but also the intra-urban variations. In this paper, we aim to summarize the major advances in HR urban remote sensing from the aspects of feature representation and information extraction. Moreover, the future trends are discussed from the perspectives of methodology, urban structure and pattern characterization, big data challenge, and global mapping. | Jianya GONG Chun LIU Xin HUANG | 2020 | Science China Earth Sciences2020，63，4： | 4 |
| 14 | A DISTRIBUTED HYPERMAP MODEL FOR INTERNET GIS显示文摘The rapid development of Internet technology makes it possible to integrate GIS with the Internet,forming Internet GIS.Internet GIS is based on a distributed client/server architecture and TCP/IP & IIOP.When constructing and designing Internet GIS,we face the problem of how to express information units of Internet GIS.In order to solve this problem,this paper presents a distributed hypermap model for Internet GIS.This model provides a solution to organize and manage Internet GIS information units.It also illustrates relations between two information units and in an internal information unit both on clients and servers.On the basis of this model,the paper contributes to the expressions of hypermap relations and hypermap operations.The usage of this model is shown in the implementation of a prototype system. | Yuan Xiangru Chen Nengcheng Gong Jianya | 2000 | Geo-Spatial Information Science2000，3，4： | 4 |
| 15 | THE SCHEME FOR THE DATABASE BUILDING AND UPDATING OF 1∶10 000 DIGITAL ELEVATION MODELS显示文摘The National Bureau of Surveying and Mapping of China has planned to speed up the development of spatial data infrastructure (SDI) in the coming few years.This SDI consists of four types of digital products,i.e.,digital orthophotos,digital elevation models, digital line graphs and digital raster graphs.For the DEM,a scheme for the database building and updating of 1∶10 000 digital elevation models has been proposed and some experimental tests have also been accomplished.This paper describes the theoretical (and/or technical) background and reports some of the experimental results to support the scheme.Various aspects of the scheme such as accuracy,data sources,data sampling,spatial resolution,terrain modeling,data organization,etc are discussed. | ZHU Qing LI Zhilin GONG Jianya SUI Haigang | 2000 | Geo-Spatial Information Science2000，3，2： | 4 |
| 16 | Soil moisture estimation based on BeiDou Bl interference signal analysis显示文摘BeiDou Navigation Satellite System reflectometry(BDS-R) is an emerging area of BD(BeiDou) applications that uses multipath reflected signals in microwave remote sensing.Soil moisture estimation is one of the potential important applications of BDS-R.This study aims to investigate the feasibility of soil moisture estimation based on BD B1 band interference signals,which are composed of direct and reflected BD signals and can be readily captured using low-cost commercial BDS receivers.In this paper,a theoretical background for soil estimation from interference signals was introduced,and an analysis of field experimental data was conducted.First,a cosine model for the interference signal power was built,and a non-uniform power spectrum analysis was performed on the received interference signals to determine its main frequency.Then,a least squares curve fitting was applied on the interference signal power to extract its phase.The relationship between the soil moisture and the phase was then determined.Two months of experimental data were collected at BaoXie,Wuhan and analyzed for further inversion.Experimental results show that the phase of the interference signals increases with the increase of soil moisture.The correlation coefficient between the phase and the in-situ soil moisture value is approximately 0.8.Finally,the relationship between the phase and soil moisture is employed to estimate soil moisture.Results show that using BDS-R to measure soil moisture is feasible,which demonstrates a great potential of new application of the BD system. | YAN SongHua ZHAO Fen CHEN NengCheng GONG JianYa | 2016 | Science China(Information Sciences)2016，59，12： | 3 |
| 17 | A Construction Schema for Provincial Spatial Database of China显示文摘以便提供一个省的空间数据库,这篇论文论述一个计划让空间数据库建设满足中国的需要。空间数据库建设的客观、全面的技术线路被描述。逻辑、物理的数据库模型被设计。关键期被处理,例如多尺度的异构的空间数据库的集成,空间数据版本管理基于元数据和地图制图学和空间数据库的综合管理。 | WANG Yandong GONG Jianya | 2009 | Geo-Spatial Information Science2009，12，1： | 2 |
| 18 | Computer-Assisted DEM-Based Aero Photography Design显示文摘在航空测量,主要因素是地面波动。然而,大多数为航空测量设计使用的外部航空测量软件不考虑地面波动影响。因此,设计结果有比较 randomicity 和“差距”被期望。一个航空测量设计系统被与 DEM 数据分析地面波动影响到设计结果开发以便前面的重叠和方面重叠能根据块地面波动被认为正当遇见说明或标准。这个系统设计的数据与真实的飞数据相比。结果证明使用 DEM 在航空测量设计帮助能保证设计结果更好适合真实地面。 | FAN Yewen GONG Jianya TAN Chengguo WANG Ruiyao | 2008 | Geo-Spatial Information Science2008，11，1： | 2 |
| 19 | Terrain radiometric calibration of airborne UAVSAR for forested area显示文摘In the field of biomass estimation,terrain radiometric calibration of airborne polarimetric SAR data for forested areas is an urgent problem.Illuminated area correction ofσ-naught could not completely remove terrain features.Inspired by Small and Shimada,this paper tested gamma-naught on one mountainous forested area using airborne Uninhabited Aerial Vehicle Synthetic Aperture Radar data and found it could remove most terrain features.However,a systematic increasing trend from far range to near range is found in airborne SAR cases.This paper made an attempt to use the relationship between distance to SAR sensor andγ-naught to calibrateγ-naught.Two quantitative evaluation methods are proposed.Experimental results demonstrate that variation ofγ-naught can be constrained to a limited extent from near range to far range.Since this method is based on ground range images,it avoids complicated orthorectification. | CHENG Xiaoguang Naiara PINTO GONG Jianya | 2012 | Geo-Spatial Information Science2012，15，4： | 2 |
| 20 | KING GEORGE ISLAND SPATIAL DATA MODEL显示文摘Distribution,interoperability,interactivity,component are four main features of distributed GIS.Based on the principle of hypermap,hypermedia and distributed database,the paper comes up with a kind of distributed spatial data model which is in accordance with those features of distributed GIS.The model takes catalog service as the outline of spatial information globalization,and defines data structure of hypermap node in different level.Based on the model,it is feasible to manage and process distributed spatial information,and integrate multi_source,heterogeneous spatial data into a framework.Traditionally,to retrieve and access spatial data via Internet is only by theme or map name.With the concept of the model,it is possible to retrieve,load,and link spatial data by vector_based graphics on the Internet. | CHEN Nengcheng GONG Jianya | 2001 | Geo-Spatial Information Science2001，4，2： | 2 |
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