Artykuły w czasopismach na temat „Water body extraction”
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Luo, Yuanjiang, Ao Feng, Hongxiang Li, Danyang Li, Xuan Wu, Jie Liao, Chengwu Zhang, Xingqiang Zheng i Haibo Pu. "New deep learning method for efficient extraction of small water from remote sensing images". PLOS ONE 17, nr 8 (5.08.2022): e0272317. http://dx.doi.org/10.1371/journal.pone.0272317.
Pełny tekst źródłaYe, Chul-Soo. "Water body extraction in SAR image using water body texture index". Korean Journal of Remote Sensing 31, nr 4 (31.08.2015): 337–46. http://dx.doi.org/10.7780/kjrs.2015.31.4.6.
Pełny tekst źródłaJiang, Wei, Yuan Ni, Zhiguo Pang, Xiaotao Li, Hongrun Ju, Guojin He, Juan Lv, Kun Yang, June Fu i Xiangdong Qin. "An Effective Water Body Extraction Method with New Water Index for Sentinel-2 Imagery". Water 13, nr 12 (11.06.2021): 1647. http://dx.doi.org/10.3390/w13121647.
Pełny tekst źródłaNaik, B. Chandrababu, i B. Anuradha. "Extraction of Water-body Area from High-resolution Landsat Imagery". International Journal of Electrical and Computer Engineering (IJECE) 8, nr 6 (1.12.2018): 4111. http://dx.doi.org/10.11591/ijece.v8i6.pp4111-4119.
Pełny tekst źródłaZhang, Yonghong, Huanyu Lu, Guangyi Ma, Huajun Zhao, Donglin Xie, Sutong Geng, Wei Tian i Kenny Thiam Choy Lim Kam Sian. "MU-Net: Embedding MixFormer into Unet to Extract Water Bodies from Remote Sensing Images". Remote Sensing 15, nr 14 (15.07.2023): 3559. http://dx.doi.org/10.3390/rs15143559.
Pełny tekst źródłaYe, Chul-Soo. "Water body extraction using block-based image partitioning and extension of water body boundaries". Korean Journal of Remote Sensing 32, nr 5 (31.10.2016): 471–82. http://dx.doi.org/10.7780/kjrs.2016.32.5.6.
Pełny tekst źródłaWeng, Yijie, Zongmei Li, Guofeng Tang i Yang Wang. "OCNet-Based Water Body Extraction from Remote Sensing Images". Water 15, nr 20 (12.10.2023): 3557. http://dx.doi.org/10.3390/w15203557.
Pełny tekst źródłaZhang, Q., X. Hu i 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 (5.12.2023): 889–94. http://dx.doi.org/10.5194/isprs-annals-x-1-w1-2023-889-2023.
Pełny tekst źródłaHe, S. A., i Xiao Yan Zhu. "Preparation of Zirconia Fiber Body with Extrusion-Extraction Molding". Key Engineering Materials 519 (lipiec 2012): 291–96. http://dx.doi.org/10.4028/www.scientific.net/kem.519.291.
Pełny tekst źródłaChe, Xianghong, Min Feng, Hao Jiang, Jia Song i 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.
Pełny tekst źródłaWang, Yanjun, Shaochun Li, Yunhao Lin i Mengjie Wang. "Lightweight Deep Neural Network Method for Water Body Extraction from High-Resolution Remote Sensing Images with Multisensors". Sensors 21, nr 21 (7.11.2021): 7397. http://dx.doi.org/10.3390/s21217397.
Pełny tekst źródłaChen, Chao, Liyan Wang, Yanli Chu i 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.
Pełny tekst źródłaYue, Hui, Yao Li, Jiaxin Qian i Ying Liu. "A new accuracy evaluation method for water body extraction". International Journal of Remote Sensing 41, nr 19 (7.07.2020): 7311–42. http://dx.doi.org/10.1080/01431161.2020.1755740.
Pełny tekst źródłaSong, Jia, i Xiangbing Yan. "The Effect of Negative Samples on the Accuracy of Water Body Extraction Using Deep Learning Networks". Remote Sensing 15, nr 2 (15.01.2023): 514. http://dx.doi.org/10.3390/rs15020514.
Pełny tekst źródłaJi, Zhonglin, Yu Zhu, Yaozhong Pan, Xiufang Zhu i 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, nr 18 (16.09.2022): 2889. http://dx.doi.org/10.3390/w14182889.
Pełny tekst źródłaZhang, Zhili, Meng Lu, Shunping Ji, Huafen Yu i Chenhui Nie. "Rich CNN Features for Water-Body Segmentation from Very High Resolution Aerial and Satellite Imagery". Remote Sensing 13, nr 10 (13.05.2021): 1912. http://dx.doi.org/10.3390/rs13101912.
Pełny tekst źródłaZhang, Hong, Jun Wei Wang, Sheng Zhong Dong, Fang Xu Xu i Sheng Hou Wang. "The Optimization of Extraction of Cordycepin from Fruiting Body of Cordyceps militaris (L.) Link". Advanced Materials Research 393-395 (listopad 2011): 1024–28. http://dx.doi.org/10.4028/www.scientific.net/amr.393-395.1024.
Pełny tekst źródłaZhang, Tianyi, Chenhao Qin, Weibin Li, Xin Mao, Liyun Zhao, Biao Hou i Licheng Jiao. "Water Body Extraction of the Weihe River Basin Based on MF-SegFormer Applied to Landsat8 OLI Data". Remote Sensing 15, nr 19 (25.09.2023): 4697. http://dx.doi.org/10.3390/rs15194697.
Pełny tekst źródłaLiu, Haiyang, Hongda Hu, Xulong Liu, Hao Jiang, Wanxia Liu i 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, nr 17 (30.08.2022): 2696. http://dx.doi.org/10.3390/w14172696.
Pełny tekst źródłaZhang, Jing. "Water Body Information Extraction from Remote Sensing Images based on PSPNet". International Journal of Computer Science and Information Technology 2, nr 1 (24.03.2024): 319–25. http://dx.doi.org/10.62051/ijcsit.v2n1.33.
Pełny tekst źródłaWu, Dan, i Shenglan Ye. "Research on Water Extraction from Remote Sensing Images based on Ada Boost Algorithm". Frontiers in Computing and Intelligent Systems 4, nr 1 (6.06.2023): 102–4. http://dx.doi.org/10.54097/fcis.v4i1.9478.
Pełny tekst źródłaWoo, Park Cheol, Jeon Jong Ju, Moon Yong Ho i Eom Il Kyu. "Green Algae Detection Using Water Body Extraction and Color information". Journal of the Institute of Electronics and Information Engineers 56, nr 5 (31.05.2019): 43–51. http://dx.doi.org/10.5573/ieie.2019.56.5.43.
Pełny tekst źródłaGermán 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, nr 5 (2020): 789–96. http://dx.doi.org/10.24247/ijmperdoct202079.
Pełny tekst źródłaZhou, Ya'nan, Jiancheng Luo, Zhanfeng Shen, Xiaodong Hu i 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, nr 10 (październik 2014): 4301–12. http://dx.doi.org/10.1109/jstars.2014.2360436.
Pełny tekst źródłaHaibo, Yang, Wang Zongmin, Zhao Hongling i 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.
Pełny tekst źródłaYu, Long, Zhiyin Wang, Shengwei Tian, Feiyue Ye, Jianli Ding i Jun Kong. "Convolutional Neural Networks for Water Body Extraction from Landsat Imagery". International Journal of Computational Intelligence and Applications 16, nr 01 (marzec 2017): 1750001. http://dx.doi.org/10.1142/s1469026817500018.
Pełny tekst źródłaWeng, Wen Lu, Hao Min Lo, Shih Jung Chan i Wen Huang Liu. "Bioactive Component Extraction from Antrodia camphorata Fruiting Body on Artificial Agar Media". Advanced Materials Research 750-752 (sierpień 2013): 1485–88. http://dx.doi.org/10.4028/www.scientific.net/amr.750-752.1485.
Pełny tekst źródłaGuo, Hongxiang, Guojin He, Wei Jiang, Ranyu Yin, Lei Yan i 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, nr 4 (25.03.2020): 189. http://dx.doi.org/10.3390/ijgi9040189.
Pełny tekst źródłaGuo, Zhishun, Lin Wu, Yabo Huang, Zhengwei Guo, Jianhui Zhao i Ning Li. "Water-Body Segmentation for SAR Images: Past, Current, and Future". Remote Sensing 14, nr 7 (6.04.2022): 1752. http://dx.doi.org/10.3390/rs14071752.
Pełny tekst źródłaReddy, S. L. K., C. V. Rao, P. R. Kumar, R. V. G. Anjaneyulu i 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 (19.11.2018): 323–28. http://dx.doi.org/10.5194/isprs-archives-xlii-5-323-2018.
Pełny tekst źródłaLiu, Min, Jiangping Liu i Hua Hu. "A Novel Deep Learning Network Model for Extracting Lake Water Bodies from Remote Sensing Images". Applied Sciences 14, nr 4 (6.02.2024): 1344. http://dx.doi.org/10.3390/app14041344.
Pełny tekst źródłaJiang, Zhiqi, Yijun Wen, Gui Zhang i Xin Wu. "Water Information Extraction Based on Multi-Model RF Algorithm and Sentinel-2 Image Data". Sustainability 14, nr 7 (23.03.2022): 3797. http://dx.doi.org/10.3390/su14073797.
Pełny tekst źródłaYang, Liping, Joshua Driscol, Sarigai Sarigai, Qiusheng Wu, Christopher D. Lippitt i 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, nr 6 (21.03.2022): 2416. http://dx.doi.org/10.3390/s22062416.
Pełny tekst źródłaQi, Baogui, Yin Zhuang, He Chen, Shan Dong i Lianlin Li. "Fusion Feature Multi-Scale Pooling for Water Body Extraction from Optical Panchromatic Images". Remote Sensing 11, nr 3 (24.01.2019): 245. http://dx.doi.org/10.3390/rs11030245.
Pełny tekst źródłaLi, Hengkai, Zikun Xu, Yanbing Zhou, Xiaoxing He i Minghua He. "Flood Monitoring Using Sentinel-1 SAR for Agricultural Disaster Assessment in Poyang Lake Region". Remote Sensing 15, nr 21 (5.11.2023): 5247. http://dx.doi.org/10.3390/rs15215247.
Pełny tekst źródłaPang, Mingkun, Hongyu Pan, Hang Zhang i 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, nr 20 (20.10.2022): 13609. http://dx.doi.org/10.3390/ijerph192013609.
Pełny tekst źródłaWu, Xiao Dong, Yi Ning Wang, Rui He Wang, Han Han Zhang, Bei Lin Qi i Ming Zhu. "Research on Horizontal Well Inhibiting Water Coning and Tapping the Potential of Remaining Oil". Applied Mechanics and Materials 527 (luty 2014): 57–64. http://dx.doi.org/10.4028/www.scientific.net/amm.527.57.
Pełny tekst źródłaChen Rujun, 陈如俊, 普运伟 Pu Yunwei, 周家厚 Zhou Jiahou, 李俊 Li Jun i 王雪峰 Wang Xuefeng. "基于GF-2号影像细小水体提取研究". Laser & Optoelectronics Progress 60, nr 16 (2023): 1628002. http://dx.doi.org/10.3788/lop222488.
Pełny tekst źródłaNing, Fang-Shii, i Yu-Chan Lee. "Combining Spectral Water Indices and Mathematical Morphology to Evaluate Surface Water Extraction in Taiwan". Water 13, nr 19 (6.10.2021): 2774. http://dx.doi.org/10.3390/w13192774.
Pełny tekst źródłaYu, Jie, Yang Cai, Xin Lyu, Zhennan Xu, Xinyuan Wang, Yiwei Fang, Wenxuan Jiang i Xin Li. "Boundary-Guided Semantic Context Network for Water Body Extraction from Remote Sensing Images". Remote Sensing 15, nr 17 (1.09.2023): 4325. http://dx.doi.org/10.3390/rs15174325.
Pełny tekst źródłaZhao, Zitong, Jin Yang, Mingjia Wang, Jiaqi Chen, Ci Sun, Nan Song, Jinyu Wang i Shulong Feng. "The PCA-NDWI Urban Water Extraction Model Based on Hyperspectral Remote Sensing". Water 16, nr 7 (27.03.2024): 963. http://dx.doi.org/10.3390/w16070963.
Pełny tekst źródłaGuo, Jia, Xiaoping Wang, Bin Liu, Ke Liu, Yong Zhang i Chenfeng Wang. "Remote-Sensing Extraction of Small Water Bodies on the Loess Plateau". Water 15, nr 5 (23.02.2023): 866. http://dx.doi.org/10.3390/w15050866.
Pełny tekst źródłaSun, J. Y., G. Z. Wang, G. J. He, D. C. Pu, W. Jiang, T. T. Li i 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 (7.02.2020): 641–48. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w10-641-2020.
Pełny tekst źródłaRamkumar, E., V. S. Bala Murali, T. Guna, S. M. Dharshan i S. Ajay Vishnu. "Eco Friendly Dye Extraction From Cyanophyta for Textiles". International Journal of Innovative Technology and Exploring Engineering 10, nr 4 (28.02.2021): 72–74. http://dx.doi.org/10.35940/ijitee.d8468.0210421.
Pełny tekst źródłaYu, Long, Ruonan Zhang, Shengwei Tian, Liu Yang i Yalong Lv. "Deep Multi-Feature Learning for Water Body Extraction from Landsat Imagery". Automatic Control and Computer Sciences 52, nr 6 (listopad 2018): 517–27. http://dx.doi.org/10.3103/s0146411618060123.
Pełny tekst źródłaGu, Lingxiao, Quanhua Zhao, Guanghui Wang i Yu Li. "Water body extraction based on region similarity combined adaptively band selection". International Journal of Remote Sensing 42, nr 8 (18.01.2021): 2963–80. http://dx.doi.org/10.1080/01431161.2020.1842545.
Pełny tekst źródłaNguyen, 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 (28.07.2012): 181–86. http://dx.doi.org/10.5194/isprsarchives-xxxix-b8-181-2012.
Pełny tekst źródłaKaplan, Gordana, i Ugur Avdan. "Object-based water body extraction model using Sentinel-2 satellite imagery". European Journal of Remote Sensing 50, nr 1 (styczeń 2017): 137–43. http://dx.doi.org/10.1080/22797254.2017.1297540.
Pełny tekst źródłaZhu, Yu, Li Jian Sun i Chuan Yin Zhang. "Summary of water body extraction methods based on ZY-3 satellite". IOP Conference Series: Earth and Environmental Science 100 (grudzień 2017): 012200. http://dx.doi.org/10.1088/1755-1315/100/1/012200.
Pełny tekst źródłade 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 i Fabiano Martins Cunha. "Mining for sand extraction - Rio Grande: Brazilian environmental legislation applied". Revista de Gestão e Secretariado 14, nr 12 (5.12.2023): 21018–31. http://dx.doi.org/10.7769/gesec.v14i12.3146.
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