Search Results - "Tong, Xiaohua"

Dynamic land use change simulation using cellular automata with spatially nonstationary transition rules by Feng, Yongjiu, Tong, Xiaohua

“…The dynamic relationships between land use change and its driving forces vary spatially and can be identified by geographically weighted regression (GWR). We…”
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Incorporation of spatial heterogeneity-weighted neighborhood into cellular automata for dynamic urban growth simulation by Feng, Yongjiu, Tong, Xiaohua

“…Cellular automata (CA) are bottom-up models that have been widely applied to simulate urban growth and project future urban scenarios. Conventional CA models…”
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Spatially-explicit modeling and intensity analysis of China's land use change 2000–2050 by Feng, Yongjiu, Lei, Zhenkun, Tong, Xiaohua, Gao, Chen, Chen, Shurui, Wang, Jiafeng, Wang, Siqin

“…Land use change affected by wide ranges of human activities is a key driver of global climate change. In the last three decades, China has experienced…”
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An applicable and automatic method for earth surface water mapping based on multispectral images by Luo, Xin, Tong, Xiaohua, Hu, Zhongwen

“…•An applicable and automatic model was proposed for surface water mapping.•We built an earth surface water dataset for the surface water features learning.•The…”
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Spatial-Spectral Radial Basis Function-Based Interpolation for Landsat ETM+ SLC-Off Image Gap Filling by Wang, Qunming, Wang, Lanxing, Li, Zhongbin, Tong, Xiaohua, Atkinson, Peter M.

“…The scan-line corrector (SLC) of the Landsat 7 ETM+ failed permanently in 2003, resulting in about 22% unscanned gap pixels in the SLC-off images, affecting…”
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Modeling dynamic urban growth using cellular automata and particle swarm optimization rules by Feng, Yongjiu, Liu, Yan, Tong, Xiaohua, Liu, Miaolong, Deng, Susu

“…► We apply a particle swarm optimization (PSO) algorithm to optimize the transition rules of an urban CA model. ► The optimized CA parameters quantify the…”
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A Multiscale and Hierarchical Feature Extraction Method for Terrestrial Laser Scanning Point Cloud Classification by Zhen Wang, Liqiang Zhang, Tian Fang, Mathiopoulos, P. Takis, Xiaohua Tong, Huamin Qu, Zhiqiang Xiao, Fang Li, Dong Chen

“…The effective extraction of shape features is an important requirement for the accurate and efficient classification of terrestrial laser scanning (TLS) point…”
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A Novel Subpixel Phase Correlation Method Using Singular Value Decomposition and Unified Random Sample Consensus by Tong, Xiaohua, Ye, Zhen, Xu, Yusheng, Liu, Shijie, Li, Lingyun, Xie, Huan, Li, Tianpeng

“…Subpixel translation estimation using phase correlation is a fundamental task for numerous applications in the remote sensing community. The major drawback of…”
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A novel fire index-based burned area change detection approach using Landsat-8 OLI data by Liu, Sicong, Zheng, Yongjie, Dalponte, Michele, Tong, Xiaohua

“…Change detection from multi-temporal remote sensing images is an effective way to identify the burned areas after forest fires. However, the complex image…”
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A New Fusion Approach for Extracting Urban Built-up Areas from Multisource Remotely Sensed Data by Ma, Xiaolong, Li, Chengming, Tong, Xiaohua, Liu, Sicong

“…Recent advances in the fusion technology of remotely sensed data have led to an increased availability of extracted urban information from multiple spatial…”
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A Three-Layered Graph-Based Learning Approach for Remote Sensing Image Retrieval by Yuebin Wang, Liqiang Zhang, Xiaohua Tong, Liang Zhang, Zhenxin Zhang, Hao Liu, Xiaoyue Xing, Mathiopoulos, P. Takis

“…With the emergence of huge volumes of high-resolution remote sensing images produced by all sorts of satellites and airborne sensors, processing and analysis…”
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A Multilevel Point-Cluster-Based Discriminative Feature for ALS Point Cloud Classification by Zhenxin Zhang, Liqiang Zhang, Xiaohua Tong, Mathiopoulos, P. Takis, Bo Guo, Xianfeng Huang, Zhen Wang, Yuebin Wang

“…Point cloud classification plays a critical role in point cloud processing and analysis. Accurately classifying objects on the ground in urban environments…”
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Multi-Scale Ship Detection From SAR and Optical Imagery Via A More Accurate YOLOv3 by Hong, Zhonghua, Yang, Ting, Tong, Xiaohua, Zhang, Yun, Jiang, Shenlu, Zhou, Ruyan, Han, Yanling, Wang, Jing, Yang, Shuhu, Liu, Sichong

“…Deep learning detection methods use in ship detection remains a challenge, owing to the small scale of the objects and interference from complex sea surfaces…”
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Incorporating inconsistent auxiliary images in haze removal of very high resolution images by Ma, Xiaofeng, Wang, Qunming, Tong, Xiaohua

“…•Inconsistent auxiliary image is incorporated to enhance haze removal of VHR image.•A gradient-based method (GHRN) is proposed for haze removal of VHR…”
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Impacts of spatial scale on the delineation of spatiotemporal urban expansion by Wang, Rong, Feng, Yongjiu, Tong, Xiaohua, Zhao, Jiajun, Zhai, Shuting

“…•The scale behaviors of three indicators were examined in delineating expansion dynamics.•These indicators are the quantitative OUER metric and their variates…”
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Global assessment of urban trees’ cooling efficiency based on satellite observations by Yang, Qiquan, Huang, Xin, Tong, Xiaohua, Xiao, Changjiang, Yang, Jie, Liu, Yue, Cao, Yinxia

“…Abstract Trees are among the most important urban land covers, and their effects on local thermal environments have been extensively evaluated by using the…”
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Automated Subpixel Surface Water Mapping from Heterogeneous Urban Environments Using Landsat 8 OLI Imagery by Xie, Huan, Luo, Xin, Xu, Xiong, Pan, Haiyan, Tong, Xiaohua

“…Water bodies are a fundamental element of urban ecosystems, and water mapping is critical for urban and landscape planning and management. Remote sensing has…”
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Spatial Patterns of Land Surface Temperature and Their Influencing Factors: A Case Study in Suzhou, China by Feng, Yongjiu, Gao, Chen, Tong, Xiaohua, Chen, Shurui, Lei, Zhenkun, Wang, Jiafeng

“…Land surface temperature (LST) is a fundamental Earth parameter, on both regional and global scales. We used seven Landsat images to derive LST at Suzhou City,…”
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A rational delineation method for active land blocks on the southeastern margin of the Tibetan Plateau based on high-precision GNSS horizontal velocity fields by Zhang, Lingxiao, Qu, Wei, Huang, Rong, Ye, Zhen, Tong, Xiaohua

“…As one of the most geologically active regions on Earth, accurate delineation of active land blocks and analysis of crustal deformation characteristics in the…”
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Multiscale Morphological Compressed Change Vector Analysis for Unsupervised Multiple Change Detection by Liu, Sicong, Du, Qian, Tong, Xiaohua, Samat, Alim, Bruzzone, Lorenzo, Bovolo, Francesca

“…A novel multiscale morphological compressed change vector analysis (M 2 C 2 VA) method is proposed to address the multiple-change detection problem (i.e.,…”
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