A Deep Learning Model to Extract Ship Size from Sentinel-1 SAR Images

被引：0
|
作者：
Ren, Yibin [1 ,2 ]
Li, Xiaofeng [1 ,2 ]
Xu, Huan [3 ]
机构：
[1] Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao,266071, China
[2] Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao,266071, China
[3] School of Geomatics and Marine Information, Jiangsu Ocean University, Lianyungang,222005, China
来源：
IEEE Transactions on Geoscience and Remote Sensing | 2022年 / 60卷
关键词：
461.4 Ergonomics and Human Factors Engineering - 716.2 Radar Systems and Equipment - 922.2 Mathematical Statistics;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
49
引用
收藏
相关论文
共 50 条
  • [21] PERFORMANCE EVALUATION OF SENTINEL-1 DATA IN SAR SHIP DETECTION
    Pelich, Ramona
    Longepe, Nicolas
    Mercier, Gregoire
    Hajduch, Guillaume
    Garello, Rene
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 2103 - 2106
  • [22] A self-evolving deep learning algorithm for automatic oil spill detection in Sentinel-1 SAR images
    Li, Chenglei
    Kim, Duk-jin
    Park, Soyeon
    Kim, Junwoo
    Song, Juyoung
    REMOTE SENSING OF ENVIRONMENT, 2023, 299
  • [23] Sentinel-1 SAR Images of Inland Waterways Traffic
    Alexandrov, Chavdar
    Kolev, Nikolay
    Sivkov, Yordan
    Hristov, Avgustin
    Tsvetkov, Miroslav
    2018 20TH INTERNATIONAL SYMPOSIUM ON ELECTRICAL APPARATUS AND TECHNOLOGIES (SIELA), 2018,
  • [24] Learning Deep Ship Detector in SAR Images From Scratch
    Deng, Zhipeng
    Sun, Hao
    Zhou, Shilin
    Zhao, Juanping
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 57 (06): : 4021 - 4039
  • [25] Ship Classification from SAR Images Based on Deep Learning
    Hashimoto, Shintaro
    Sugimoto, Yohei
    Hamamoto, Ko
    Ishihama, Naoki
    INTELLIGENT SYSTEMS AND APPLICATIONS, VOL 1, 2019, 868 : 18 - 34
  • [26] MAPPING RICE AREA USING SENTINEL-1 SAR DATA AND DEEP LEARNING
    Shen, Guozhuang
    Nie, Chenwei
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 3402 - 3405
  • [27] A DEEP LEARNING BASED SELF-EVOLVING OIL SPILL DETECTION ALGORITHM USING SENTINEL-1 SAR IMAGES
    Li, Chenglei
    Park, Soyeon
    Kim, Duk-jin
    Kim, Junwoo
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 1289 - 1292
  • [28] Wind direction retrieval from Sentinel-1 SAR images using ResNet
    Zanchetta, Andrea
    Zecchetto, Stefano
    REMOTE SENSING OF ENVIRONMENT, 2021, 253
  • [29] A novel ship-detection technique for Sentinel-1 SAR data
    Iervolino, Pasquale
    Guida, Raffaella
    Whittaker, Philip
    2015 IEEE 5TH ASIA-PACIFIC CONFERENCE ON SYNTHETIC APERTURE RADAR (APSAR), 2015, : 797 - 801
  • [30] Sentinel-1 SAR SLC Image Ship Detection and Motion Estimation
    Kolev, Nikolai
    Alexandrov, Chavdar
    Tsvetkov, Miroslav
    2019 16TH CONFERENCE ON ELECTRICAL MACHINES, DRIVES AND POWER SYSTEMS (ELMA), 2019,
12345