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Original Articles

Detection of urban sprawl using a genetic algorithm-evolved artificial neural network classification in remote sensing: a case study in Jiading and Putuo districts of Shanghai, China

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Pages 1485-1504 | Published online: 30 Mar 2010

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Tingting Xu & Jay Gao. (2021) Controlled urban sprawl in Auckland, New Zealand and its impacts on the natural environment and housing affordability. Computational Urban Science 1:1.
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Xinghua Li, Zhengshun Du, Yanyuan Huang & Zhenyu Tan. (2021) A deep translation (GAN) based change detection network for optical and SAR remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing 179, pages 14-34.
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Pece V. Gorsevski. (2021) An evolutionary approach for spatial prediction of landslide susceptibility using LiDAR and symbolic classification with genetic programming. Natural Hazards 108:2, pages 2283-2307.
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Olalekan O. Onilude & Eric Vaz. (2021) Urban Sprawl and Growth Prediction for Lagos Using GlobeLand30 Data and Cellular Automata Model. Sci 3:2, pages 23.
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Wenzhong Shi, Min Zhang, Rui Zhang, Shanxiong Chen & Zhao Zhan. (2020) Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges. Remote Sensing 12:10, pages 1688.
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Yangbo Chen, Peng Dou & Xiaojun Yang. (2017) Improving Land Use/Cover Classification with a Multiple Classifier System Using AdaBoost Integration Technique. Remote Sensing 9:10, pages 1055.
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Piyush Kumar, Jay M. Rosenberger & Gazi Md Daud Iqbal. (2016) Mixed integer linear programming approaches for land use planning that limit urban sprawl. Computers & Industrial Engineering 102, pages 33-43.
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Tong Li, Xuan Zheng & Tong Xiong. (2016) Research on the high resolution remote sensing image classification algorithm based on improved neural network model. Research on the high resolution remote sensing image classification algorithm based on improved neural network model.
Huan Xie, Xiaohua Tong, Wen Meng, Dan Liang, Zhenhua Wang & Wenzhong Shi. (2015) A Multilevel Stratified Spatial Sampling Approach for the Quality Assessment of Remote-Sensing-Derived Products. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8:10, pages 4699-4713.
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Linyi Li, Yun Chen, Tingbao Xu, Rui Liu, Kaifang Shi & Chang Huang. (2015) Super-resolution mapping of wetland inundation from remote sensing imagery based on integration of back-propagation neural network and genetic algorithm. Remote Sensing of Environment 164, pages 142-154.
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Xiaohua Tong, Xiaoichun Li, Xiong Xu, Huan Xie, Tiantian Feng, Tong Sun, Yanmin Jin & Xiangfeng Liu. (2014) A Two-Phase Classification of Urban Vegetation Using Airborne LiDAR Data and Aerial Photography. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7:10, pages 4153-4166.
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Xiaohua Tong, Huan Xie & Qihao Weng. (2014) Urban Land Cover Classification With Airborne Hyperspectral Data: What Features to Use?. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7:10, pages 3998-4009.
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Ming-Der Yang, Yeh-Fen Yang, Tung-Ching Su & Kai-Siang Huang. (2014) An Efficient Fitness Function in Genetic Algorithm Classifier for Landuse Recognition on Satellite Images. The Scientific World Journal 2014, pages 1-12.
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Ming Der Yang, Yeh Fen Yang & Kai Siang Huang. (2013) Spectrum Distribution of Landuse Classification by Genetic Algorithm. Applied Mechanics and Materials 411-414, pages 1251-1255.
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Xiaohua Tong, Xue Zhang, Jie Shan, Huan Xie & Miaolong Liu. (2013) Attraction-Repulsion Model-Based Subpixel Mapping of Multi-/Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing 51:5, pages 2799-2814.
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