Artigos de revistas sobre o tema "Water body extraction"
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Luo, Yuanjiang, Ao Feng, Hongxiang Li, Danyang Li, Xuan Wu, Jie Liao, Chengwu Zhang, Xingqiang Zheng e Haibo Pu. "New deep learning method for efficient extraction of small water from remote sensing images". PLOS ONE 17, n.º 8 (5 de agosto de 2022): e0272317. http://dx.doi.org/10.1371/journal.pone.0272317.
Texto completo da fonteYe, Chul-Soo. "Water body extraction in SAR image using water body texture index". Korean Journal of Remote Sensing 31, n.º 4 (31 de agosto de 2015): 337–46. http://dx.doi.org/10.7780/kjrs.2015.31.4.6.
Texto completo da fonteJiang, Wei, Yuan Ni, Zhiguo Pang, Xiaotao Li, Hongrun Ju, Guojin He, Juan Lv, Kun Yang, June Fu e Xiangdong Qin. "An Effective Water Body Extraction Method with New Water Index for Sentinel-2 Imagery". Water 13, n.º 12 (11 de junho de 2021): 1647. http://dx.doi.org/10.3390/w13121647.
Texto completo da fonteNaik, B. Chandrababu, e B. Anuradha. "Extraction of Water-body Area from High-resolution Landsat Imagery". International Journal of Electrical and Computer Engineering (IJECE) 8, n.º 6 (1 de dezembro de 2018): 4111. http://dx.doi.org/10.11591/ijece.v8i6.pp4111-4119.
Texto completo da fonteZhang, Yonghong, Huanyu Lu, Guangyi Ma, Huajun Zhao, Donglin Xie, Sutong Geng, Wei Tian e Kenny Thiam Choy Lim Kam Sian. "MU-Net: Embedding MixFormer into Unet to Extract Water Bodies from Remote Sensing Images". Remote Sensing 15, n.º 14 (15 de julho de 2023): 3559. http://dx.doi.org/10.3390/rs15143559.
Texto completo da fonteYe, Chul-Soo. "Water body extraction using block-based image partitioning and extension of water body boundaries". Korean Journal of Remote Sensing 32, n.º 5 (31 de outubro de 2016): 471–82. http://dx.doi.org/10.7780/kjrs.2016.32.5.6.
Texto completo da fonteWeng, Yijie, Zongmei Li, Guofeng Tang e Yang Wang. "OCNet-Based Water Body Extraction from Remote Sensing Images". Water 15, n.º 20 (12 de outubro de 2023): 3557. http://dx.doi.org/10.3390/w15203557.
Texto completo da fonteZhang, Q., X. Hu e Y. Xiao. "A NOVEL HYBRID MODEL BASED ON CNN AND MULTI-SCALE TRANSFORMER FOR EXTRACTING WATER BODIES FROM HIGH RESOLUTION REMOTE SENSING IMAGES". ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-1/W1-2023 (5 de dezembro de 2023): 889–94. http://dx.doi.org/10.5194/isprs-annals-x-1-w1-2023-889-2023.
Texto completo da fonteHe, S. A., e Xiao Yan Zhu. "Preparation of Zirconia Fiber Body with Extrusion-Extraction Molding". Key Engineering Materials 519 (julho de 2012): 291–96. http://dx.doi.org/10.4028/www.scientific.net/kem.519.291.
Texto completo da fonteChe, Xianghong, Min Feng, Hao Jiang, Jia Song e Bei Jia. "Downscaling MODIS Surface Reflectance to Improve Water Body Extraction". Advances in Meteorology 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/424291.
Texto completo da fonteWang, Yanjun, Shaochun Li, Yunhao Lin e Mengjie Wang. "Lightweight Deep Neural Network Method for Water Body Extraction from High-Resolution Remote Sensing Images with Multisensors". Sensors 21, n.º 21 (7 de novembro de 2021): 7397. http://dx.doi.org/10.3390/s21217397.
Texto completo da fonteChen, Chao, Liyan Wang, Yanli Chu e Xinyue He. "The method for water body information extraction in complex environment using GF-1 WFV images". E3S Web of Conferences 213 (2020): 03024. http://dx.doi.org/10.1051/e3sconf/202021303024.
Texto completo da fonteYue, Hui, Yao Li, Jiaxin Qian e Ying Liu. "A new accuracy evaluation method for water body extraction". International Journal of Remote Sensing 41, n.º 19 (7 de julho de 2020): 7311–42. http://dx.doi.org/10.1080/01431161.2020.1755740.
Texto completo da fonteSong, Jia, e Xiangbing Yan. "The Effect of Negative Samples on the Accuracy of Water Body Extraction Using Deep Learning Networks". Remote Sensing 15, n.º 2 (15 de janeiro de 2023): 514. http://dx.doi.org/10.3390/rs15020514.
Texto completo da fonteJi, Zhonglin, Yu Zhu, Yaozhong Pan, Xiufang Zhu e Xuechang Zheng. "Large-Scale Extraction and Mapping of Small Surface Water Bodies Based on Very High-Spatial-Resolution Satellite Images: A Case Study in Beijing, China". Water 14, n.º 18 (16 de setembro de 2022): 2889. http://dx.doi.org/10.3390/w14182889.
Texto completo da fonteZhang, Zhili, Meng Lu, Shunping Ji, Huafen Yu e Chenhui Nie. "Rich CNN Features for Water-Body Segmentation from Very High Resolution Aerial and Satellite Imagery". Remote Sensing 13, n.º 10 (13 de maio de 2021): 1912. http://dx.doi.org/10.3390/rs13101912.
Texto completo da fonteZhang, Hong, Jun Wei Wang, Sheng Zhong Dong, Fang Xu Xu e Sheng Hou Wang. "The Optimization of Extraction of Cordycepin from Fruiting Body of Cordyceps militaris (L.) Link". Advanced Materials Research 393-395 (novembro de 2011): 1024–28. http://dx.doi.org/10.4028/www.scientific.net/amr.393-395.1024.
Texto completo da fonteZhang, Tianyi, Chenhao Qin, Weibin Li, Xin Mao, Liyun Zhao, Biao Hou e Licheng Jiao. "Water Body Extraction of the Weihe River Basin Based on MF-SegFormer Applied to Landsat8 OLI Data". Remote Sensing 15, n.º 19 (25 de setembro de 2023): 4697. http://dx.doi.org/10.3390/rs15194697.
Texto completo da fonteLiu, Haiyang, Hongda Hu, Xulong Liu, Hao Jiang, Wanxia Liu e Xiaoling Yin. "A Comparison of Different Water Indices and Band Downscaling Methods for Water Bodies Mapping from Sentinel-2 Imagery at 10-M Resolution". Water 14, n.º 17 (30 de agosto de 2022): 2696. http://dx.doi.org/10.3390/w14172696.
Texto completo da fonteZhang, Jing. "Water Body Information Extraction from Remote Sensing Images based on PSPNet". International Journal of Computer Science and Information Technology 2, n.º 1 (24 de março de 2024): 319–25. http://dx.doi.org/10.62051/ijcsit.v2n1.33.
Texto completo da fonteWu, Dan, e Shenglan Ye. "Research on Water Extraction from Remote Sensing Images based on Ada Boost Algorithm". Frontiers in Computing and Intelligent Systems 4, n.º 1 (6 de junho de 2023): 102–4. http://dx.doi.org/10.54097/fcis.v4i1.9478.
Texto completo da fonteWoo, Park Cheol, Jeon Jong Ju, Moon Yong Ho e Eom Il Kyu. "Green Algae Detection Using Water Body Extraction and Color information". Journal of the Institute of Electronics and Information Engineers 56, n.º 5 (31 de maio de 2019): 43–51. http://dx.doi.org/10.5573/ieie.2019.56.5.43.
Texto completo da fonteGermán Torrijos. C et al.,, Germán Torrijos C. et al ,. "Water Body Extraction using Mixture Analysis Techniques and Mathematical Morphology". International Journal of Mechanical and Production Engineering Research and Development 10, n.º 5 (2020): 789–96. http://dx.doi.org/10.24247/ijmperdoct202079.
Texto completo da fonteZhou, Ya'nan, Jiancheng Luo, Zhanfeng Shen, Xiaodong Hu e Haiping Yang. "Multiscale Water Body Extraction in Urban Environments From Satellite Images". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7, n.º 10 (outubro de 2014): 4301–12. http://dx.doi.org/10.1109/jstars.2014.2360436.
Texto completo da fonteHaibo, Yang, Wang Zongmin, Zhao Hongling e Guo Yu. "Water Body Extraction Methods Study Based on RS and GIS". Procedia Environmental Sciences 10 (2011): 2619–24. http://dx.doi.org/10.1016/j.proenv.2011.09.407.
Texto completo da fonteYu, Long, Zhiyin Wang, Shengwei Tian, Feiyue Ye, Jianli Ding e Jun Kong. "Convolutional Neural Networks for Water Body Extraction from Landsat Imagery". International Journal of Computational Intelligence and Applications 16, n.º 01 (março de 2017): 1750001. http://dx.doi.org/10.1142/s1469026817500018.
Texto completo da fonteWeng, Wen Lu, Hao Min Lo, Shih Jung Chan e Wen Huang Liu. "Bioactive Component Extraction from Antrodia camphorata Fruiting Body on Artificial Agar Media". Advanced Materials Research 750-752 (agosto de 2013): 1485–88. http://dx.doi.org/10.4028/www.scientific.net/amr.750-752.1485.
Texto completo da fonteGuo, Hongxiang, Guojin He, Wei Jiang, Ranyu Yin, Lei Yan e Wanchun Leng. "A Multi-Scale Water Extraction Convolutional Neural Network (MWEN) Method for GaoFen-1 Remote Sensing Images". ISPRS International Journal of Geo-Information 9, n.º 4 (25 de março de 2020): 189. http://dx.doi.org/10.3390/ijgi9040189.
Texto completo da fonteGuo, Zhishun, Lin Wu, Yabo Huang, Zhengwei Guo, Jianhui Zhao e Ning Li. "Water-Body Segmentation for SAR Images: Past, Current, and Future". Remote Sensing 14, n.º 7 (6 de abril de 2022): 1752. http://dx.doi.org/10.3390/rs14071752.
Texto completo da fonteReddy, S. L. K., C. V. Rao, P. R. Kumar, R. V. G. Anjaneyulu e B. G. Krishna. "A NOVEL METHOD FOR WATER AND WATER CANAL EXTRACTION FROM LANDSAT-8 OLI IMAGERY". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5 (19 de novembro de 2018): 323–28. http://dx.doi.org/10.5194/isprs-archives-xlii-5-323-2018.
Texto completo da fonteLiu, Min, Jiangping Liu e Hua Hu. "A Novel Deep Learning Network Model for Extracting Lake Water Bodies from Remote Sensing Images". Applied Sciences 14, n.º 4 (6 de fevereiro de 2024): 1344. http://dx.doi.org/10.3390/app14041344.
Texto completo da fonteJiang, Zhiqi, Yijun Wen, Gui Zhang e Xin Wu. "Water Information Extraction Based on Multi-Model RF Algorithm and Sentinel-2 Image Data". Sustainability 14, n.º 7 (23 de março de 2022): 3797. http://dx.doi.org/10.3390/su14073797.
Texto completo da fonteYang, Liping, Joshua Driscol, Sarigai Sarigai, Qiusheng Wu, Christopher D. Lippitt e Melinda Morgan. "Towards Synoptic Water Monitoring Systems: A Review of AI Methods for Automating Water Body Detection and Water Quality Monitoring Using Remote Sensing". Sensors 22, n.º 6 (21 de março de 2022): 2416. http://dx.doi.org/10.3390/s22062416.
Texto completo da fonteQi, Baogui, Yin Zhuang, He Chen, Shan Dong e Lianlin Li. "Fusion Feature Multi-Scale Pooling for Water Body Extraction from Optical Panchromatic Images". Remote Sensing 11, n.º 3 (24 de janeiro de 2019): 245. http://dx.doi.org/10.3390/rs11030245.
Texto completo da fonteLi, Hengkai, Zikun Xu, Yanbing Zhou, Xiaoxing He e Minghua He. "Flood Monitoring Using Sentinel-1 SAR for Agricultural Disaster Assessment in Poyang Lake Region". Remote Sensing 15, n.º 21 (5 de novembro de 2023): 5247. http://dx.doi.org/10.3390/rs15215247.
Texto completo da fontePang, Mingkun, Hongyu Pan, Hang Zhang e Tianjun Zhang. "Experimental Investigation of the Effect of Groundwater on the Relative Permeability of Coal Bodies around Gas Extraction Boreholes". International Journal of Environmental Research and Public Health 19, n.º 20 (20 de outubro de 2022): 13609. http://dx.doi.org/10.3390/ijerph192013609.
Texto completo da fonteWu, Xiao Dong, Yi Ning Wang, Rui He Wang, Han Han Zhang, Bei Lin Qi e Ming Zhu. "Research on Horizontal Well Inhibiting Water Coning and Tapping the Potential of Remaining Oil". Applied Mechanics and Materials 527 (fevereiro de 2014): 57–64. http://dx.doi.org/10.4028/www.scientific.net/amm.527.57.
Texto completo da fonteChen Rujun, 陈如俊, 普运伟 Pu Yunwei, 周家厚 Zhou Jiahou, 李俊 Li Jun e 王雪峰 Wang Xuefeng. "基于GF-2号影像细小水体提取研究". Laser & Optoelectronics Progress 60, n.º 16 (2023): 1628002. http://dx.doi.org/10.3788/lop222488.
Texto completo da fonteNing, Fang-Shii, e Yu-Chan Lee. "Combining Spectral Water Indices and Mathematical Morphology to Evaluate Surface Water Extraction in Taiwan". Water 13, n.º 19 (6 de outubro de 2021): 2774. http://dx.doi.org/10.3390/w13192774.
Texto completo da fonteYu, Jie, Yang Cai, Xin Lyu, Zhennan Xu, Xinyuan Wang, Yiwei Fang, Wenxuan Jiang e Xin Li. "Boundary-Guided Semantic Context Network for Water Body Extraction from Remote Sensing Images". Remote Sensing 15, n.º 17 (1 de setembro de 2023): 4325. http://dx.doi.org/10.3390/rs15174325.
Texto completo da fonteZhao, Zitong, Jin Yang, Mingjia Wang, Jiaqi Chen, Ci Sun, Nan Song, Jinyu Wang e Shulong Feng. "The PCA-NDWI Urban Water Extraction Model Based on Hyperspectral Remote Sensing". Water 16, n.º 7 (27 de março de 2024): 963. http://dx.doi.org/10.3390/w16070963.
Texto completo da fonteGuo, Jia, Xiaoping Wang, Bin Liu, Ke Liu, Yong Zhang e Chenfeng Wang. "Remote-Sensing Extraction of Small Water Bodies on the Loess Plateau". Water 15, n.º 5 (23 de fevereiro de 2023): 866. http://dx.doi.org/10.3390/w15050866.
Texto completo da fonteSun, J. Y., G. Z. Wang, G. J. He, D. C. Pu, W. Jiang, T. T. Li e X. F. Niu. "STUDY ON THE WATER BODY EXTRACTION USING GF-1 DATA BASED ON ADABOOST INTEGRATED LEARNING ALGORITHM". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W10 (7 de fevereiro de 2020): 641–48. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w10-641-2020.
Texto completo da fonteRamkumar, E., V. S. Bala Murali, T. Guna, S. M. Dharshan e S. Ajay Vishnu. "Eco Friendly Dye Extraction From Cyanophyta for Textiles". International Journal of Innovative Technology and Exploring Engineering 10, n.º 4 (28 de fevereiro de 2021): 72–74. http://dx.doi.org/10.35940/ijitee.d8468.0210421.
Texto completo da fonteYu, Long, Ruonan Zhang, Shengwei Tian, Liu Yang e Yalong Lv. "Deep Multi-Feature Learning for Water Body Extraction from Landsat Imagery". Automatic Control and Computer Sciences 52, n.º 6 (novembro de 2018): 517–27. http://dx.doi.org/10.3103/s0146411618060123.
Texto completo da fonteGu, Lingxiao, Quanhua Zhao, Guanghui Wang e Yu Li. "Water body extraction based on region similarity combined adaptively band selection". International Journal of Remote Sensing 42, n.º 8 (18 de janeiro de 2021): 2963–80. http://dx.doi.org/10.1080/01431161.2020.1842545.
Texto completo da fonteNguyen, D. D. "WATER BODY EXTRACTION FROM MULTI SPECTRAL IMAGE BY SPECTRAL PATTERN ANALYSIS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXIX-B8 (28 de julho de 2012): 181–86. http://dx.doi.org/10.5194/isprsarchives-xxxix-b8-181-2012.
Texto completo da fonteKaplan, Gordana, e Ugur Avdan. "Object-based water body extraction model using Sentinel-2 satellite imagery". European Journal of Remote Sensing 50, n.º 1 (janeiro de 2017): 137–43. http://dx.doi.org/10.1080/22797254.2017.1297540.
Texto completo da fonteZhu, Yu, Li Jian Sun e Chuan Yin Zhang. "Summary of water body extraction methods based on ZY-3 satellite". IOP Conference Series: Earth and Environmental Science 100 (dezembro de 2017): 012200. http://dx.doi.org/10.1088/1755-1315/100/1/012200.
Texto completo da fontede Souza, Guilherme Silva, Pedro Augusto Soares, Luiz Otávio Moras Filho, Gustavo Soares Santos, Luiza Ignez Mollica Marotta, Guilherme Augusto Bertelli Fernandes Clemente, Clayton Reis De Oliveira e Fabiano Martins Cunha. "Mining for sand extraction - Rio Grande: Brazilian environmental legislation applied". Revista de Gestão e Secretariado 14, n.º 12 (5 de dezembro de 2023): 21018–31. http://dx.doi.org/10.7769/gesec.v14i12.3146.
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