Deep-learning-based solution for data deficient satellite image segmentation

被引：0
|
作者：
Yeung, Henry Wing Fung [1 ]
Zhou, Meng [1 ]
Chung, Yuk Ying [1 ]
Moule, Grant [2 ]
Thompson, Wayne [2 ]
Ouyang, Wanli [3 ]
Cai, Weidong [1 ]
Bennamoun, Mohammed [4 ]
机构：
[1] School of Computer Science, The University of Sydney, NSW, Australia
[2] Digital - Downer Defence, Downer, Australia
[3] School of Electrical and Information Engineering, The University of Sydney, NSW, Australia
[4] Faculty of Engineering and Mathematical Sciences, Computer Science and Software Engineering, The University of Western Australia, Perth,WA, Australia
来源：
Expert Systems with Applications | 2022年 / 191卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
35
引用
收藏
相关论文
共 50 条
  • [21] Streamlining deep-learning-based segmentation methods for microscopy images
    Dunster, Gideon
    Viana, Matheus Palhares
    Rafelski, Susanne M.
    BIOPHYSICAL JOURNAL, 2024, 123 (03) : 430A - 431A
  • [22] Deep-Learning-Based Automatic Mineral Grain Segmentation and Recognition
    Latif, Ghazanfar
    Bouchard, Kevin
    Maitre, Julien
    Back, Arnaud
    Bedard, Leo Paul
    MINERALS, 2022, 12 (04)
  • [23] Deep-Learning-Based Point Cloud Semantic Segmentation: A Survey
    Zhang, Rui
    Wu, Yichao
    Jin, Wei
    Meng, Xiaoman
    ELECTRONICS, 2023, 12 (17)
  • [24] Deep-learning-based image segmentation for image-based computational hemodynamic analysis of abdominal aortic aneurysms: a comparison study
    Lyu, Zonghan
    King, Kristin
    Rezaeitaleshmahalleh, Mostafa
    Pienta, Drew
    Mu, Nan
    Zhao, Chen
    Zhou, Weihua
    Jiang, Jingfeng
    BIOMEDICAL PHYSICS & ENGINEERING EXPRESS, 2023, 9 (06)
  • [25] Deep-learning-based segmentation using individual patient data on prostate cancer radiation therapy
    Jeong, Sangwoon
    Cheon, Wonjoong
    Kim, Sungjin
    Park, Won
    Han, Youngyih
    PLOS ONE, 2024, 19 (07):
  • [26] Intensity-Based Thresholding of Probability Maps in Deep-Learning-Based Segmentation
    Bice, N.
    Kirby, N.
    Li, R.
    Bahr, T.
    Rembish, J.
    Agarwal, M.
    Stathakis, S.
    Fakhreddine, M.
    MEDICAL PHYSICS, 2020, 47 (06) : E302 - E302
  • [27] Deep-Learning-Based Block Similarity Evaluation for Image Forensics
    Wang, Hsin-Tzu
    Su, Po-Chyi
    2020 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TAIWAN), 2020,
  • [28] A Comprehensive Review of Deep-Learning-Based Methods for Image Forensics
    Camacho, Ivan Castillo
    Wang, Kai
    JOURNAL OF IMAGING, 2021, 7 (04)
  • [29] MRISNet:Deep-learning-based Martian instance segmentation against blur
    Liu, Meng
    Liu, Jin
    Ma, Xin
    EARTH SCIENCE INFORMATICS, 2023, 16 (01) : 965 - 981
  • [30] Deep-Learning-Based Image Reconstruction and Enhancement in Optical Microscopy
    de Haan, Kevin
    Rivenson, Yair
    Wu, Yichen
    Ozcan, Aydogan
    PROCEEDINGS OF THE IEEE, 2020, 108 (01) : 30 - 50
12345