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| 1 | Structures and catalytic performances of Me/SAPO-34(Me=Mn,Ni,Co)catalysts for low-tem perature SCR of NO_x by ammonia显示文摘Me/SAPO-34(Me=Mn,Ni,Co)series of catalysts were prepared by a wetness impregnation method and investigated for the selective catalytic reduction of nitrogen oxides with ammonia(NH 3-SCR).Among them,Mn/SAPO-34 catalyst was found as the most promising candidate based on its superior low-temperature activity.The catalysts were characterized by X-ray diffraction(XRD),transmission electron microscopy images(TEM),nuclear magnetic resonance(NMR),X-ray photoelectron spectroscopy(XPS),temperature programmed reduction and desorption(TPR and TPD),and diffuse reflectance infrared Fourier transformed spectroscopy(DRIFTS)of NH_(3)/NO_(x)adsorption.Mn/SAPO-34 is obviously different from Ni/SAPO-34 and Co/SAPO-34 in the active species state and distribution.Surface MnO_(x)species which play an essential role in NO oxidation and NO_(2)adsorption,act as better active sites than nickel and cobalt mostly in the form of the aluminates and silicates. | Xuesong Liu Zhiming Sui Hongfeng Chen Yong Chen Haigang Liu Peng Jiang Zhongyun Shen Wensheng Linghu Xiaodong Wu | 2021 | Journal of Environmental Sciences2021，33，6： | 8 |
| 2 | 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 |
| 3 | 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 |
| 4 | A Fast Algorithm of Cartographic Sounding Selection显示文摘An effective strategy and framework that adequately integrate the automated and manual processes for fast cartographic sounding selection is presented. The important submarine topographic features are extracted for important soundings selection, and an improved 'influence circle' algorithm is introduced for sounding selection. For automatic configuration of soundings distribution pattern, a special algorithm considering multi factors is employed. A semi automatic method for solving the ambiguous conflicts is described. On the basis of the algorithms and strategies a system named HGIS for fast cartographic sounding selection is developed and applied in Chinese Marine Safety Administration Bureau (CMSAB). The application experiments show that the system is effective and reliable. At last some conclusions and the future work are given. | SUI Haigang HUA Li ZHAO Haitao ZHANG Yongli | 2005 | Geo-Spatial Information Science2005，8，4： | 3 |
| 5 | AN ALGORITHM FOR AUTOMATIC CARTOGRAPHIC SOUNDING SELECTION显示文摘Soundings on nautical charts provide information about the shape of ocean bottom between chart depth curves. A single chart may have thousands of soundings posted on it. This paper describes a new algorithm for selecting soundings automatically. At first,the problem encountered in automatic cartographic sounding selection is presented. Then the authors give the principle of the new algorithm,and the implementation is illuminated in detail. At last the experiments prove the rationality and efficiency of the new algorithm. | Sui Haigang Cheng Penggen Zhang Anming Gong Jianya | 1999 | Geo-Spatial Information Science1999，2，1： | 2 |
| 6 | A review of multi-temporal remote sensing data change detection algo-rithms 显示文摘 | Gong Jianya Sui Haigang Ma Guorui | 2008 | The International Archives of the Photogramme-try Remote Sensing and Spatial Information Sciences2008，37，7： | 1 |
| 7 | Road extraction from SAR imagery based on an improved particle filtering and snake model显示文摘 | LIU Junyi SUI Haigang TAO Mingming | 2013 | International Journal of Remote Sensing2013，34，22： | 1 |
| 8 | A review of multi-temporal remote sensing data change detection aigorithms 显示文摘 | Gong Jianya Sui Haigang Ma Guorui | 2008 | The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences2008，，： | 1 |
| 9 | An Integrated Technique for Automated Generalization of Contour Maps显示文摘 | Zhilin Lin Haigang Sui | 2000 | The Cartographic Journal2000，37，1： | 1 |
| 10 | A review of multi-temporal remote sensing data change detection algorithms 显示文摘 | Gong Jianya Sui Haigang Ma Guorui | 2008 | The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences2008，37，7： | 1 |
| 11 | Hyperparameter Optimization for Capsule Network Based Modified Hybrid Rice Optimization Algorithm显示文摘Hyperparameters play a vital impact in the performance of most machine learning algorithms.It is a challenge for traditional methods to con-figure hyperparameters of the capsule network to obtain high-performance manually.Some swarm intelligence or evolutionary computation algorithms have been effectively employed to seek optimal hyperparameters as a com-binatorial optimization problem.However,these algorithms are prone to get trapped in the local optimal solution as random search strategies are adopted.The inspiration for the hybrid rice optimization(HRO)algorithm is from the breeding technology of three-line hybrid rice in China,which has the advantages of easy implementation,less parameters and fast convergence.In the paper,genetic search is combined with the hybrid rice optimization algorithm(GHRO)and employed to obtain the optimal hyperparameter of the capsule network automatically,that is,a probability search technique and a hybridization strategy belong with the primary HRO.Thirteen benchmark functions are used to evaluate the performance of GHRO.Furthermore,the MNIST,Chest X-Ray(pneumonia),and Chest X-Ray(COVID-19&pneumonia)datasets are also utilized to evaluate the capsule network learnt by GHRO.The experimental results show that GHRO is an effective method for optimizing the hyperparameters of the capsule network,which is able to boost the performance of the capsule network on image classification. | Zhiwei Ye Ziqian Fang Zhina Song Haigang Sui Chunyan Yan Wen Zhou Mingwei Wang | 2023 | Intelligent Automation & Soft Computing2023，37，8： | 0 |
| 12 | A FRAMEWORK FOR AUTOMATED CHANGE DETECTION SYSTEM显示文摘To enhance the ability of remote sensing system to provide accurate,timely,and complete geo_spatial information at regional or global scale,an automated change detection system has been and will continue to be one of the important and challenging problems in remote sensing.In this paper,the authors propose a framework for automated change detection system at landscape level using various geo_spatial data sources including multi_sensor remotely sensed imagery and ancillary data layers.In this framework,database is the central part and some associated techniques are discussed.These techniques includes five subsystems:automated feature_based image registration,automated change finding,automated change feature extraction and identification,intelligent change recognition,change accuracy assessment and database updating and visualization. | SUI Haigang LI Deren | 2001 | Geo-Spatial Information Science2001，4，3： | 0 |
| 13 | SAR image water extraction using the attention U-net and multi-scale level set method:flood monitoring in South China in 2020 as a test case显示文摘Level set method has been extensively used for image segmentation,which is a key technology of water extraction.However,one of the problems of the level-set method is how to find the appropriate initial surface parameters,which will affect the accuracy and speed of level set evolution.Recently,the semantic segmentation based on deep learning has opened the exciting research possibilities.In addition,the Convolutional Neural Network(CNN)has shown a strong feature representation capability.Therefore,in this paper,the CNN method is used to obtain the initial SAR image segmentation map to provide deep a priori information for the zero-level set curve,which only needs to describe the general outline of the water body,rather than the accurate edges.Compared with the traditional circular and rectangular zero-level set initialization method,this method can converge to the edge of the water body faster and more precisely;it will not fall into the local minimum value and be able to obtain accurate segmentation results.The effectiveness of the proposed method is demonstrated by the experimental results of flood disaster monitoring in South China in 2020. | Chuan Xu Shanshan Zhang Bofei Zhao Chang Liu Haigang Sui Wei Yang Liye Mei | 2022 | Geo-Spatial Information Science2022，25，2： | 0 |
| 14 | A DESIGN OF THREE-DIMENSIONAL SPATIAL DATA MODEL AND ITS DATA STRUCTURE IN GEOLOGICAL EXPLORATION ENGINEERING显示文摘The key to develop 3-D GISs is the study on 3-D data model and data structure. Some of the data models and data structures have been presented by scholars. Because of the complexity of 3-D spatial phenomenon, there are no perfect data structures that can describe all spatial entities. Every data structure has its own advantages and disadvantages. It is difficult to design a single data structure to meet different needs. The important subject in the3-D data models is developing a data model that has integrated vector and raster data structures. A special 3-D spatial data model based on distributing features of spatial entities should be designed. We took the geological exploration engineering as the research background and designed an integrated data model whose data structures integrats vector and raster data byadopting object-oriented technique. Research achievements are presented in this paper. | Cheng Penggen Gong Jianya Wang Yandong Sui Haigang | 1999 | Geo-Spatial Information Science1999，2，1： | 0 |
| 15 | Analysis and Representation of Changes in Change Detection显示文摘In this paper,factors lead to changes and what changes should be considered are firstly discussed.Then changes to be represented by set theory is given.Twelve basic change types are described in detail.At last the paper points out that the change between geo_objects and pixels in images is not all corresponding and it causes the difficulty of accurate and robust change detection techniques. | SUI Haigang LI Deren GONG Jianya ZHU Qing | 2002 | Geo-Spatial Information Science2002，5，2： | 0 |
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