Chang X.,State Key Laboratory of Information Engineering in Surveying |
Wang M.,State Key Laboratory of Information Engineering in Surveying |
Fang L.,State Key Laboratory of Information Engineering in Surveying |
Hu F.,National Administration of Surveying
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2014
This paper analyzes the characteristics of the ground remote sensing satellite data pre-processing system and proposes an approach to encapsulate the processing steps into plug-ins with the idea of separating the satellite data processing business with the underlying algorithms. Then the data processing chain is organized to construct the ground multi-satellite/sensor data pre-processing system. This technology has been used by ground pre-processing systems of China resources satellites (ZY1-02C, ZY3). © 2014 IEEE.
Song Z.,East China Mineral Exploration and Development Bureau |
Ye J.Y.,Peking University |
Liu Q.F.,National Administration of Surveying |
Chen J.,East China Mineral Exploration and Development Bureau |
Tian C.Q.,East China Mineral Exploration and Development Bureau
Applied Mechanics and Materials | Year: 2013
This paper aims at the problems of difficult management, low efficiency, disordered data storage and management which actually exist in geological exploration. In order to solve these issues we carry the "wisdom exploration" concept into the project management. We focused on the research of the method of organization and management, and designed a new mode of the integrated management including examination of data storage, data standardization management, project management and real-time feedback. On the base of the above, we researched and developed a management system which could well meet the needs of geological exploration project management and provide a strong information guarantee to enhance the efficiency of project management. © (2013) Trans Tech Publications, Switzerland.
Liu Z.,University of Heidelberg |
Menzel L.,University of Heidelberg |
Dong C.,University of Heidelberg |
Fang R.,National Administration of Surveying
International Journal of Climatology | Year: 2015
An investigation of temporal dynamics and spatial patterns of dryness/wetness conditions over the eastern part of Northwest China (including Shaanxi, Ningxia, the eastern part of Gansu, and a part of southern Inner Mongolia) during the period 1960-2009 is presented. The analysis of this study is threefold. First, the dryness/wetness conditions over the study area were characterized using the self-calibrating Palmer Drought Severity Index (PDSI). The spatiotemporal variability of dryness/wetness conditions in the study area was then investigated by the rotated empirical orthogonal function (REOF) and Mann-Kendall trend test. Third, we examined the periodical oscillations of dryness/wetness conditions and the multi-scale relationships between dryness/wetness conditions and El Niño-Southern Oscillation (ENSO). The results indicate that most parts of the study area were characterized by a dry trend in both the rainy season (May-September) and winter. Four sub-regions of dryness/wetness conditions across the study area were identified. Based on the wavelet analysis, the periodical features in the PDSI time series for each sub-region were explored. Negative relationships between the PDSI in the sub-region I (representing the central and southern parts of Shaanxi and the southeastern Gansu) and the Niño 3.4 index can be consistently detected on 2-6 year scales during the entire period 1960-2009. This suggests that the strong El Niño events generally lead to very dry conditions in the sub-region I on multi-year scales. In addition, we further investigated how the ENSO cycle modulates the strength of the East Asian summer monsoon (EASM) in both developing and decaying phases of El Niño and La Niña events. The results of this study could be beneficial for efficient water resources management and drought assessment in the current study area and also provide a valuable reference for other areas with similar climatic characteristics. © 2015 Royal Meteorological Society.
Zhao Z.,Wuhan University |
Lin A.,Wuhan University |
Yan Q.,National Administration of Surveying |
Feng J.,Wuhan University
Sensor Review | Year: 2016
Purpose - Geographical conditions monitoring (GCM) has elicited significant concerns from the Chinese Government and is closely related to the "Digital China" program. This research aims to focus on object-based change detection (OBCD) methods integrating very-high-resolution (VHR) imagery and vector data for GCM. Design/methodology/approach - The main content of this paper is as follows: a multi-resolution segmentation (MRS) algorithm is proposed for obtaining homogeneous and contiguous image objects in two phases; a post-classification comparison (PCC) method based on the nearest neighbor algorithm and an image-object analysis (IOA) technique based on a differential entropy algorithm are used to improve the accuracy of the change detection; and a vector object-based accuracy assessment method is proposed.Findings - Results show that image objects obtained using the MRS algorithm attain the objectives of the "same spectrum within classes" and "different spectrum among classes". Moreover, the two OBCD methods can detect over 85 per cent of the changed regions. The PCC strategy can obtain the categories of image objects with a high degree of precision. The IOA technique is easy to use and largely automated. Originality/value - On the basis of the VHR satellite imagery and vector data, the above methods can effectively and accurately provide technical support for GCM implementation. © Emerald Group Publishing Limited.
Zhang J.,Wuhan University |
Zhang J.,Chinese Academy of Surveying and Mapping |
Duan M.,Wuhan University |
Duan M.,Chinese Academy of Surveying and Mapping |
And 2 more authors.
Remote Sensing | Year: 2014
Automatic vehicle extraction from an airborne laser scanning (ALS) point cloud is very useful for many applications, such as digital elevation model generation and 3D building reconstruction. In this article, an object-based point cloud analysis (OBPCA) method is proposed for vehicle extraction from an ALS point cloud. First, a segmentation-based progressive TIN (triangular irregular network) densification is employed to detect the ground points, and the potential vehicle points are detected based on the normalized heights of the non-ground points. Second, 3D connected component analysis is performed to group the potential vehicle points into segments. At last, vehicle segments are detected based on three features, including area, rectangularity and elongatedness. Experiments suggest that the proposed method is capable of achieving higher accuracy than the exiting mean-shift-based method for vehicle extraction from an ALS point cloud. Moreover, the larger the point density is, the higher the achieved accuracy is. © 2014 by the authors.
Chen J.,National Administration of Surveying
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | Year: 2012
Geographic national condition is the spatial and viewable national conditions. Geographic national condition is to study, analyze and describe national conditions in the view of geography, is to reflect natural, economic and humanistic situations of a state. Geographic national conditions monitoring is necessary for scientifically managing the macro-control of national economy. Surveying, Mapping and Geoinformation Department is a department for obtaining, processing, managing and providing the information of geographic national condition. The Department should organize and construct scientific monitoring system of geographic national condition. Besides, integrating needs of national big project, major strategic, emergencies and macro-management needs, the Department should also provide objective and continuous geographic national conditions information.
Zhang J.,Chinese Academy of Surveying and Mapping |
Li W.,National Administration of Surveying |
Zhai L.,Chinese Academy of Surveying and Mapping
International Journal of Digital Earth | Year: 2015
The geographical condition is a very important component of a country's national condition, and geographical conditions monitoring (GCM) has been of great concern to the Chinese government. GCM has a close relation with ‘Digital China’ and is a concrete embodiment of Digital China. This paper discusses the content and classification of GCM. In accordance with application areas, GCM can be divided into fundamental monitoring, thematic monitoring, and disaster monitoring. The application areas perspective includes the content of the three other perspectives, like the monitoring elements, the monitoring scope, and the monitoring cycle and fully reflects the essence of the GCM. Fundamental monitoring mainly focuses on monitoring all of the geographical elements, which provides a basis for follow-up thematic monitoring; thematic monitoring is a special type of designated subject monitoring that concerns the public or the government; disaster monitoring focuses on the dynamic monitoring of the pre-disaster and disaster periods for natural disasters. The monitoring results will provide timely information for governments so that they can meet management or decision-making requirements. A GCM case study in the area of the Qinghai — Tibet plateau was made, and some concrete conclusions were drawn. Finally, this paper presents some thoughts on conducting GCM. © 2013, © 2013 Taylor & Francis.
Li Z.,National Administration of Surveying
Journal of Geomatics | Year: 2015
The national geographic information public service platform Map World is widely used and has generated a huge social and economic benefits. The object of building Map World was to create a national strategic information basic platform as requested by National Administration of Surveying, Mapping and Geoinformation (NASMG). This paper describes the progress of Map World and analyzes the opportunities and challenges that the New Normal national economic development places on it. This paper proposes a Map World big data center and a high performance service site for high parallel global access that extends functionality under new conditions. The proposed improvements could increase the public benefits and encourage marketing application development.
Li P.,National Administration of Surveying
Journal of Geomatics | Year: 2014
This paper, starting from the strategic objective of developing Geospatial Framework for Smart China, introduces the basic connotation and structure of the Geospatial framework for Smart China. It analyses the contents that need to be improved on the basis of the achievements with the Geospatial Framework for Digital China. More importantly, the paper discusses the new contents of Geospatial Framework for Smart China, such as the Internet of Things and the location, the geographic conditions data, geospatial statistics and geographic knowledge based on big data, and the spatial and temporal cloud computing platform. And it also points out how to secure a supporting environment to develop the Geospatial Framework for Smart China.