LAND COVER MAPPING IN CAMAU PROVINCE BY MACHINE LEARNING ALGORITHMS USING SENTINEL-2 IMAGERY

被引：0
|
作者：
Van Anh, Tran [1 ]
Hang, Le Minh [2 ]
Hanh, Tran Hong [1 ]
Nghi, Le Thanh [1 ]
Anh, Tran Trung [1 ]
Chi, Nguyen Cam [3 ]
Khiên, Ha Trung [4 ]
机构：
[1] Hanoi University of Mining and Geology, No.18 Vien Street, Duc Thang Ward, Bac Tu Liem, Hanoi, Viet Nam
[2] Le Quy Don Technical University, 236 Hoang Quoc Viet Street, Bac Tu Liem, Hanoi, Viet Nam
[3] Department of Survey, Mapping and Geographic Information Vietnam, 2 Ðang Thuy Tram, Street, Bac Tu Liem, Hanoi, Viet Nam
[4] Department of Surveying, National University of Civil Engineering, 55 - Giai Phong street - Dong Tam - Hai Ba Trung, Hanoi, Viet Nam
来源：
43rd Asian Conference on Remote Sensing, ACRS 2022 | 2022年
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Support vector machines
引用
收藏
相关论文
共 50 条
  • [41] Useable Machine Learning for Sentinel-2 multispectral satellite imagery
    Langevin, Scott
    Bethune, Chris
    Horne, Philippe
    Kramer, Steve
    Gleason, Jeffrey
    Johnson, Ben
    Barnett, Ezekiel
    Husain, Fahd
    Bradley, Adam
    IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XXVII, 2021, 11862
  • [42] Signature extension as a machine learning strategy for mapping plantation forest genera with Sentinel-2 imagery
    Higgs, Caley
    van Niekerk, Adriaan
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2024, 33
  • [43] Machine learning-based detection and mapping of riverine litter utilizing Sentinel-2 imagery
    Ahmed Mohsen
    Tímea Kiss
    Ferenc Kovács
    Environmental Science and Pollution Research, 2023, 30 : 67742 - 67757
  • [44] Machine learning-based detection and mapping of riverine litter utilizing Sentinel-2 imagery
    Mohsen, Ahmed
    Kiss, Timea
    Kovacs, Ferenc
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (25) : 67742 - 67757
  • [45] Integrating Multiresolution and Multitemporal Sentinel-2 Imagery for Land-Cover Mapping in the Xiongan New Area, China
    Luo, Xin
    Tong, Xiaohua
    Pan, Haiyan
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 59 (02): : 1029 - 1040
  • [46] Effect of the Synergetic Use of Sentinel-1, Sentinel-2, LiDAR and Derived Data in Land Cover Classification of a Semiarid Mediterranean Area Using Machine Learning Algorithms
    Valdivieso-Ros, Carmen
    Alonso-Sarria, Francisco
    Gomariz-Castillo, Francisco
    REMOTE SENSING, 2023, 15 (02)
  • [47] Enhancement of tree canopy cover for the mapping of forest from the Sentinel-2 imagery
    Mishra, Vikash K.
    Soni, Pramod K.
    Pant, Triloki
    Sharma, Sudhir K.
    Thakur, Vinay
    JOURNAL OF APPLIED REMOTE SENSING, 2022, 16 (04)
  • [48] Potential of mapping dissolved oxygen in the Little Miami River using Sentinel-2 images and machine learning algorithms
    Salas, Eric Ariel L.
    Kumaran, Sakthi Subburayalu
    Partee, Eric B.
    Willis, Leeoria P.
    Mitchell, Kayla
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2022, 26
  • [49] Integration of Sentinel-1 and Sentinel-2 Data for Land Cover Mapping Using W-Net
    Gargiulo, Massimiliano
    Dell'Aglio, Domenico A. G.
    Iodice, Antonio
    Riccio, Daniele
    Ruello, Giuseppe
    SENSORS, 2020, 20 (10)
  • [50] A deep learning approach for automatic mapping of poplar plantations using Sentinel-2 imagery
    D'Amico, G.
    Francini, S.
    Giannetti, F.
    Vangi, E.
    Travaglini, D.
    Chianucci, F.
    Mattioli, W.
    Grotti, M.
    Puletti, N.
    Corona, P.
    Chirici, G.
    GISCIENCE & REMOTE SENSING, 2021, 58 (08) : 1352 - 1368
12345