The scientist’s investigation covers issues in Artificial intelligence, Remote sensing, Computer vision, Pattern recognition and Image resolution. His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Matching. His studies deal with areas such as Vegetation, Normalized Difference Vegetation Index and Fractal analysis as well as Remote sensing.
Feature extraction and Subpixel rendering are among the areas of Computer vision where Wenzhong Shi concentrates his study. His research integrates issues of Contextual image classification and Data mining in his study of Pattern recognition. The various areas that Wenzhong Shi examines in his Image resolution study include Image fusion and Multispectral image.
His primary areas of investigation include Artificial intelligence, Remote sensing, Computer vision, Pattern recognition and Data mining. His study in Pixel, Change detection, Image, Feature extraction and Image resolution is done as part of Artificial intelligence. The study incorporates disciplines such as Image fusion and Multispectral image in addition to Image resolution.
His Remote sensing study focuses mostly on Remote sensing and Lidar. The concepts of his Pattern recognition study are interwoven with issues in Contextual image classification, Cluster analysis and Fuzzy logic. His work is dedicated to discovering how Data mining, Geographic information system are connected with Spatial analysis and other disciplines.
Wenzhong Shi mostly deals with Artificial intelligence, Change detection, Remote sensing, Pattern recognition and Remote sensing. Wenzhong Shi frequently studies issues relating to Computer vision and Artificial intelligence. Wenzhong Shi combines subjects such as Transformation and Point with his study of Computer vision.
Wenzhong Shi has researched Change detection in several fields, including Uncertainty analysis, Land use, Artificial neural network, Image and Robustness. He studied Remote sensing and Mean squared error that intersect with Aerosol and AERONET. His study focuses on the intersection of Pattern recognition and fields such as Cluster analysis with connections in the field of Image segmentation.
His main research concerns Artificial intelligence, Change detection, Pattern recognition, Remote sensing and Land use. His Artificial intelligence research integrates issues from Open data and Scale. His Change detection research is multidisciplinary, relying on both Uncertainty analysis, Agriculture, Vegetation, Normalized Difference Vegetation Index and Field.
His Pattern recognition research incorporates themes from Remote sensing, Training, Feature and Robustness. His Remote sensing research is multidisciplinary, incorporating elements of Mode, Envelope, Mean squared error, Moderate-resolution imaging spectroradiometer and Neighbourhood. His Land use research is multidisciplinary, incorporating perspectives in Urbanization, Afforestation, Forestry and Urban area.
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Metal contamination in urban, suburban, and country park soils of Hong Kong: a study based on GIS and multivariate statistics.
Celine Siu Lan Lee;Xiangdong Li;Wen Zhong Shi;Sharon Ching Nga Cheung.
Science of The Total Environment (2006)
The study of metal contamination in urban soils of Hong Kong using a GIS-based approach.
Xiangdong Li;Siu Ian Lee;Sze Chung Wong;Wen Zhong Shi.
Environmental Pollution (2004)
Wavelet-based image fusion and quality assessment
Wen Zhong Shi;Chang Qing Zhu;Yan Tian;Janet Elizabeth Nichol.
International Journal of Applied Earth Observation and Geoinformation (2005)
Quality assessment for geo‐spatial objects derived from remotely sensed data
Qingming Zhan;Martien Molenaar;Klaus Tempfli;Wenzhong Shi.
International Journal of Remote Sensing (2005)
Spatial Data Quality
Wenzhong Shi;F. Peter Fisher;Michael F. Goodchild.
Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses
Wen Zhong Shi.
A stochastic process-based model for the positional error of line segments in GIS
Wenzhong Shi;Wenbao Liu.
International Journal of Geographical Information Science (2000)
Performance Evaluation of Line Simplification Algorithms for Vector Generalization
Wen Zhong Shi;Chui Kwan Cheung.
Cartographic Journal (2006)
An Integrated Method for Urban Main-Road Centerline Extraction From Optical Remotely Sensed Imagery
Wenzhong Shi;Zelang Miao;Johan Debayle.
IEEE Transactions on Geoscience and Remote Sensing (2014)
The line segment match method for extracting road network from high-resolution satellite images
Wenzhong Shi;Changqing Zhu.
IEEE Transactions on Geoscience and Remote Sensing (2002)
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