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| 1 | DCAD:a Dual Clustering Algorithm for Distributed Spatial Databases显示文摘Spatial objects have two types of attributes: geometrical attributes and non-geometrical attributes, which belong to two different attribute domains (geometrical and non-geometrical domains). Although geometrically scattered in a geometrical domain, spatial objects may be similar to each other in a non-geometrical domain. Most existing clustering algorithms group spatial datasets into different compact regions in a geometrical domain without considering the aspect of a non-geometrical domain. However, many application scenarios require clustering results in which a cluster has not only high proximity in a geometrical domain, but also high similarity in a non-geometrical domain. This means constraints are imposed on the clustering goal from both geometrical and non-geometrical domains simultaneously. Such a clustering problem is called dual clustering. As distributed clustering applications become more and more popular, it is necessary to tackle the dual clustering problem in distributed databases. The DCAD algorithm is proposed to solve this problem. DCAD consists of two levels of clus- tering: local clustering and global clustering. First, clustering is conducted at each local site with a local clustering algorithm, and the features of local clusters are extracted. Second, local features from each site are sent to a central site where global clustering is obtained based on those features. Experiments on both artificial and real spatial datasets show that DCAD is effective and efficient. | ZHOU Jiaogen GUAN Jihong LI Pingxiang | 2007 | Geo-Spatial Information Science2007，10，2： | 14 |
| 2 | Interrelations Between Socio-economic Development and Environmental Quality:a Simulation Integrating System Dynamics Models with GIS显示文摘System dynamics (SD) theory has long been deployed in modeling complex non-linear interrelationships but, so far it has not been common to do the kind of modeling in support of bringing environmental sustainability policies to practice. This is largely because the challenge of including spatial data has not yet been well met. Potential for adoption of SD and GIS methods in combination is exemplified with the results of a decision-support exercise designed for simulation and prediction of the dynamic inter-relationships between socio-economic development and environmental quality for the 'Wen, Pi, Du' county in Sichuan province, southwestern China. | YU Jie BIAN Fuling PETERSON Jim LI Pingxiang | 2005 | Geo-Spatial Information Science2005，8，3： | 2 |
| 3 | Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes 显示文摘 | CHEN Xiaoling ZHAO Hongmei LI Pingxiang | 2006 | Remote Sensing of Environment2006，104，2： | 1 |
| 4 | An Adaptive Multiscale Information Fusion Approach for Feature Extraction and Classification of IKONOS Multispectral Imagery over Urban Areas显示文摘 | HUANG Xin ZHANG Liangpei LI Pingxiang | 2007 | IEEE Geoscience and Remote Sensing Letters2007，4，4： | 1 |
| 5 | Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes显示文摘 | Chen Xiaoling Zhao Hongme Li Pingxiang | 2006 | Remote Sensing of Environment2006，104，： | 1 |
| 6 | Classification and Extraction of Spatial Features in Urban Areas Using High-resolution Multispectral Imagery显示文摘 | HUANG Xin ZHANG Liangpei LI Pingxiang | 2007 | IEEE Geoscience and Remote Sensing Letters2007，4，2： | 1 |
| 7 | Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes 显示文摘 | CHEN Xiaoling ZHAO Hongmei LI Pingxiang | 2006 | Remote Sensing of Environment2006，104，： | 1 |
| 8 | Investigation of Image Fusion Between High-Resolution Image and Multi-spectral Image显示文摘On the basis of a thorough understanding of the physical characteristics of remote sensing image, this paper employs the theories of wavelet transform and signal sampling to develop a new image fusion algorithm. The algorithm has been successfully applied to the image fusion of SPOT PAN and TM of Guangdong province, China. The experimental results show that a perfect image fusion can be built up by using the image analytical solution and re-construction in the image frequency domain based on the physical characteristics of the image formation. The method has demonstrated that the results of the image fusion do not change spectral characteristics of the original image. | LI Pingxiang WANG ZhijunLI Pingxiang, professor, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China. | 2003 | Geo-Spatial Information Science2003，6，2： | 1 |
| 9 | A Statistical Po- larimetric Decomposition Solution Based on the Maxi- mum Likelihood Estimator 显示文摘 | Lei Shi Pingxiang Li Jie Yang | 2012 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS2012，9，05： | 1 |
| 10 | Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes显示文摘 | Chen Xiaoling Zhao Hongmei Li Pingxiang | 2006 | Remote Sensing of Environment2006，104，2006： | 1 |
| 11 | Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes 显示文摘 | XIAOLING CHEN HONGMEI ZHAO PINGXIANG LI | 2006 | Remote Sensing of Environment2006，104，2： | 1 |
| 12 | Remote Sensing Image-based Analysis on the Relationship between Urban Heat Island and Land Use / Cover Change 显示文摘 | Chen Xiaoling Zhao Hongmei Li Pingxiang | 2006 | Remote Sensing of Environment2006，106，2： | 1 |
| 13 | Regional soil erosion risk mapping using RUSLE, GIS, and remote sensing: a case study in Miyun Watershed, North China显示文摘 | CHEN Tan NIU Ruiqing LI Pingxiang | 2011 | Environ Earth Science2011，63，： | 1 |
| 14 | High-resolution Hyper-spectral Image Classification with Parts-based Feature and Morphology Profile in Urban Area显示文摘High-resolution hyper-spectral image (HHR) provides both detailed structural and spectral information for urban study. However, due to the inherent correlation between spectral bands and within-class variability in the data, the data processing of HHR is a challenging work. In this paper, based on spectral mixture analysis theory, a new stack of parts description features were extracted, and then incorporated with a stack of morphology based spatial features. Partially supervised constrained energy minimization (CEM) and unsupervised nonnegative matrix factorization (NMF) were used to extract the part-features. The joint features were then integrated by SVM classifier. The advantages of this method are the representation of physical composition of the urban area by the parts-features and the show of multi-scale structure information by morphology profiles. Experiments with an airborne hyper-spectral data flightline over the Washington DC Mall were performed, and the performance of the proposed algorithm was evaluated in comparison with well-known nonparametric weighted feature extraction (NWFE) and feature selection method. The results shown that the proposed features-joint scheme consistently outperforms the traditional methods, and so can provide an effective option for processing HHR data in urban area. | HUANG Yuancheng ZHANG Liangpei LI Pingxiang ZHONG Yanfei | 2010 | Geo-Spatial Information Science2010，13，2： | 1 |
| 15 | A super-resolution reconstruction algorithm for surveillance images 显示文摘 | Zhang Liang-pei Zhang Hong-yan Shen Huan-feng Li Pingxiang | 2010 | Signal Processing2010，90，3： | 1 |
| 16 | Study of Modified TFA-MOD Method for YBCO Film Growth显示文摘 | Li Chengshan Lu Yangfeng Zhang Pingxiang | 2012 | Physics Procedia2012，36，： | 1 |
| 17 | Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes 显示文摘 | CHEN Xiaoling ZHAO Hongmei LI Pingxiang | 2006 | Remote Sensing of Environment2006，104，2： | 1 |
| 18 | Super- resolution Reconstruction Algorithm to MODIS Remote Sensing Images显示文摘 | SHEN Huangfeng NGM K LI Pingxiang | 2007 | The Computer Journal2007，52，1： | 1 |
| 19 | Phase Evolution Study and Optimization of the Heat Treatment Process for High Current Capacity Bi-2223 Tapes显示文摘Powder in tube process(PIT) was adopted for the fabrication of single filament Bi-2223 tapes, and a heat treatment process including the first heat treatment(HT1), intermediate rolling(IR), and second heat treatment(HT2) was performed. The phase evolution mechanism and microstructure changes during these heat treatment processes were systematically discussed. The influences of HT1 parameters on the phase evolution process of Bi-2223 tapes were discussed. With the optimized HT1 process, a proper Bi-2223 content of about 90% was achieved. HT2 process was also optimized by adding a post annealing process. An obvious increase of current capacity was obtained due to the enhancement of intergrain connections. Single filament Bi-2223 tapes with the critical current of I_c-90 A were fabricated with the optimized sintering process. | 白利锋 张胜楠 LI Chengshan HAO Qingbin LIU Guoqing ZHANG Pingxiang | 2017 | Journal of Wuhan University of Technology(Materials Science)2017，32，4： | 1 |
| 20 | Remote sensing image - based analysis of the relationship between urban heat island and land use/cover changes 显示文摘 | Chen Xiaoling Zhao Hongmei Li Pingxiang | 2006 | Remote sensing of environment2006，104，： | 1 |
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