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Marine Geodesy Volume 43, 2020 - Issue 2
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Articles

Sea-Land Segmentation Using Deep Learning Techniques for Landsat-8 OLI Imagery

Ting YangCollege of Information Technology, Shanghai Ocean University, Shanghai, China; View further author information
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Shenlu JiangCollege of Information and Communication Engineering, Sungkyunkwan University, Suwon, South KoreaView further author information
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Zhonghua HongCollege of Information Technology, Shanghai Ocean University, Shanghai, China; ;Key Laboratory of Fisheries Information, Ministry of Agriculture, Shanghai, China; ;College of Surveying and Geo-Informatics, Tongji University, Shanghai, China; ;Shanghai Tuyao Information Science & Technology Co., Ltd, Shanghai, China; Correspondence[email protected]
View further author information
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Yun ZhangCollege of Information Technology, Shanghai Ocean University, Shanghai, China; View further author information
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Yanling HanCollege of Information Technology, Shanghai Ocean University, Shanghai, China; View further author information
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Ruyan ZhouCollege of Information Technology, Shanghai Ocean University, Shanghai, China; View further author information
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Jing WangCollege of Information Technology, Shanghai Ocean University, Shanghai, China; View further author information
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Shuhu YangCollege of Information Technology, Shanghai Ocean University, Shanghai, China; View further author information
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Xiaohua TongCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, China; View further author information
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Tae-yong KucCollege of Information and Communication Engineering, Sungkyunkwan University, Suwon, South KoreaView further author information
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Pages 105-133 | Received 18 Jul 2019, Accepted 06 Jan 2020, Published online: 20 Jan 2020

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Bo Ai, Xiao Zhang, Yaru Zhang, Zhen Wen, Fan Mo & Jiaqi Yao. (2023) Efficient active contours with optical physical parameters for shoreline extraction: a general method and novel framework. International Journal of Remote Sensing 44:17, pages 5496-5522.
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Muhammad Yasir, Wan Jianhua, Liu Shanwei, Hui Sheng, Xu Mingming & Md Hossain. (2023) Coupling of deep learning and remote sensing: a comprehensive systematic literature review. International Journal of Remote Sensing 44:1, pages 157-193.
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Articles from other publishers (19)

Qixiang Tong, Jiawei Wu, Zhipeng Zhu, Min Zhang & Haihua Xing. (2024) STIRUnet: SwinTransformer and inverted residual convolution embedding in unet for Sea–Land segmentation. Journal of Environmental Management 357, pages 120773.
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Yujie Li, Xing Wang, Xiaojuan Zhang, Jiahao Fang & Xuefeng Zhang. (2024) WRBSNet: A Novel Sea–Land Segmentation Network With a Wider Range of Batch Sizes. IEEE Geoscience and Remote Sensing Letters 21, pages 1-5.
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Marco Scarpetta, Mattia Alessandro Ragolia, Maurizio Spadavecchia, Paolo Affuso & Nicola Giaquinto. (2023) The SNOWED Dataset and Its Application to Po River Monitoring Through Satellite Images. The SNOWED Dataset and Its Application to Po River Monitoring Through Satellite Images.
Xixuan Zhou, Jinyu Wang, Fengjie Zheng, Haoyu Wang & Haitao Yang. (2023) An Overview of Coastline Extraction from Remote Sensing Data. Remote Sensing 15:19, pages 4865.
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Lihong Su, Jessica Magolan & James Gibeaut. (2023) Coastal Water Land Classification by Fusion of Satellite Imagery and Lidar Point Clouds. Coastal Water Land Classification by Fusion of Satellite Imagery and Lidar Point Clouds.
Gregorio Andria, Marco Scarpetta, Maurizio Spadavecchia, Paolo Affuso & Nicola Giaquinto. (2023) SNOWED: Automatically Constructed Dataset of Satellite Imagery for Water Edge Measurements. Sensors 23:9, pages 4491.
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Lakshmi Devi N, Rajasekhar Reddy Bochu & Naveen Kumar Buddha. (2023) Salt Segment Identification in Seismic Images of Earth Surface using Deep Learning Techniques. Salt Segment Identification in Seismic Images of Earth Surface using Deep Learning Techniques.
Junbo Wang, Lanying Wang, Shufang Feng, Benrong Peng, Lingfeng Huang, Sarah N. Fatholahi, Lisa Tang & Jonathan Li. (2023) An Overview of Shoreline Mapping by Using Airborne LiDAR. Remote Sensing 15:1, pages 253.
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Tianyu Liu, Pengyu Liu, Xiaowei Jia, Shanji Chen, Ying Ma & Qian Gao. (2023) Sea-Land Segmentation of Remote Sensing Images Based on SDW-UNet. Computer Systems Science and Engineering 45:2, pages 1033-1045.
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D. K. Savitha, Rajkumar Kethavath & Arshad Jamal. 2023. Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems. Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems 218 227 .
Marco Scarpetta, Maurizio Spadavecchia, Vito Ivano D'Alessandro, Luisa De Palma & Nicola Giaquinto. (2022) A new dataset of satellite images for deep learning-based coastline measurement. A new dataset of satellite images for deep learning-based coastline measurement.
Catherine Seale, Thomas Redfern, Paul Chatfield, Chunbo Luo & Kari Dempsey. (2022) Coastline detection in satellite imagery: A deep learning approach on new benchmark data. Remote Sensing of Environment 278, pages 113044.
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Giovanni Scardino, Giovanni Scicchitano, Marco Chirivì, Pedro J. M. Costa, Antonio Luparelli & Giuseppe Mastronuzzi. (2022) Convolutional Neural Network and Optical Flow for the Assessment of Wave and Tide Parameters from Video Analysis (LEUCOTEA): An Innovative Tool for Coastal Monitoring. Remote Sensing 14:13, pages 2994.
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Mohammad Aghdami-Nia, Reza Shah-Hosseini, Amirhossein Rostami & Saeid Homayouni. (2022) Automatic coastline extraction through enhanced sea-land segmentation by modifying Standard U-Net. International Journal of Applied Earth Observation and Geoinformation 109, pages 102785.
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Xuan Yang, Zhengchao Chen, Bing Zhang, Baipeng Li, Yongqing Bai & Pan Chen. (2022) A Block Shuffle Network with Superpixel Optimization for Landsat Image Semantic Segmentation. Remote Sensing 14:6, pages 1432.
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Irem Ulku, Erdem Akagunduz & Pedram Ghamisi. (2022) Deep Semantic Segmentation of Trees Using Multispectral Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15, pages 7589-7604.
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Jiahao Li. (2021) Study on Automatic Shoreline Extraction Based on Multi-spectral Remote Sensing Images. Study on Automatic Shoreline Extraction Based on Multi-spectral Remote Sensing Images.
Firat Erdem, Bulent Bayram, Tolga Bakirman, Onur Can Bayrak & Burak Akpinar. (2021) An ensemble deep learning based shoreline segmentation approach (WaterNet) from Landsat 8 OLI images. Advances in Space Research 67:3, pages 964-974.
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Lukas Graf, Heike Bach & Dirk Tiede. (2020) Semantic Segmentation of Sentinel-2 Imagery for Mapping Irrigation Center Pivots. Remote Sensing 12:23, pages 3937.
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