An improved fully convolution network model for change detection in mining areas using sentinel-2 images

被引:6
|
作者
Tang, Chao [1 ,2 ]
Zhang, Zhaoming [1 ]
He, Guojin [1 ]
Long, Tengfei [1 ]
Wang, Guizhou [1 ]
Wei, Mingyue [1 ,2 ]
She, Wenqing [1 ,3 ]
机构
[1] Chinese Acad Sci, Aerosp Informat Res Inst, Beijing, Peoples R China
[2] Univ Chinese Acad Sci, Sch Elect Elect & Commun Engn, Beijing, Peoples R China
[3] Univ Chinese Acad Sci, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
19;
D O I
10.1080/2150704X.2021.1925372
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
High-resolution satellite images have recently been widely used for change detection of mineral resources and mining area environments. However, with their increasing resolution and number of feature sub-categories, traditional machine learning methods have become sensitive to pseudo-changes and intra-class changes, which are prone to producing misclassifications. To address these problems, a novel fully convolutional network, the Hybrid Dilated Convolutional Siamese Network (HDC-Siam) was proposed. This model combines the modular dilated convolution network with the fully convolutional Siamese networks structure, in order to reduce the commission rate. In this paper, pairs of Sentinel-2 images with an interval of about two years was used as the experimental data. The HDC-Siam model was used to detect changes, where we evaluated the accuracy in the Dongsheng coalfield in Ordos, China and the Kuznetsk coalfield in Kemerovo, Russia. We obtained F (1)-scores of 85% and 75% for these respective locations. In addition, we conducted comparative experiments using two other methods - Fully Convolutional Siamese - Difference (FC-Siam-diff) and Fully Convolutional Early Fusion (FC-EF) - in order to verify that the HDC-Siam works.
引用
收藏
页码:684 / 694
页数:11
相关论文
共 50 条
  • [41] Inversion of Time Series Elevation Changes in Open Pit Mining Areas Based on Adjacent Orbital Sentinel-2 Images
    Lou, Jianqi
    Zhao, Chaoying
    Li, Guangrong
    Li, Dongni
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 17 : 6126 - 6133
  • [42] UCDNet: A Deep Learning Model for Urban Change Detection From Bi-Temporal Multispectral Sentinel-2 Satellite Images
    Basavaraju, K. S.
    Sravya, N.
    Lal, Shyam
    Nalini, J.
    Reddy, Chintala Sudhakar
    Dell'Acqua, Fabio
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [43] Mapping seagrasses on the basis of Sentinel-2 images under tidal change
    Li, Yiqiong
    Bai, Junwu
    Chen, Shiquan
    Chen, Bowei
    Zhang, Li
    MARINE ENVIRONMENTAL RESEARCH, 2023, 185
  • [44] Adaptive convolution kernel network for change detection in hyperspectral images
    Liu, Song
    Li, Haiwei
    Chen, Junyu
    Li, Siyuan
    Song, Liyao
    Zhang, Geng
    Hu, Bingliang
    APPLIED OPTICS, 2023, 62 (08) : 2039 - 2047
  • [45] ESTIMATION OF SOIL MOISTURE USING SENTINEL-1 AND SENTINEL-2 IMAGES
    Sarteshnizi, R. Esmaeili
    Vayghan, S. Sahebi
    Jazirian, I.
    ISPRS GEOSPATIAL CONFERENCE 2022, JOINT 6TH SENSORS AND MODELS IN PHOTOGRAMMETRY AND REMOTE SENSING, SMPR/4TH GEOSPATIAL INFORMATION RESEARCH, GIRESEARCH CONFERENCES, VOL. 10-4, 2023, : 137 - 142
  • [46] Operational fuel model map for Atlantic landscapes using ALS and Sentinel-2 images
    Solares-Canal, Ana
    Alonso, Laura
    Rincon, Thais
    Picos, Juan
    Molina-Terren, Domingo M.
    Becerra, Carmen
    Armesto, Julia
    FIRE ECOLOGY, 2023, 19 (01)
  • [47] Operational fuel model map for Atlantic landscapes using ALS and Sentinel-2 images
    Ana Solares-Canal
    Laura Alonso
    Thais Rincón
    Juan Picos
    Domingo M. Molina-Terrén
    Carmen Becerra
    Julia Armesto
    Fire Ecology, 19
  • [48] Aerosol Retrieval Algorithm for Sentinel-2 Images Over Complex Urban Areas
    Yang, Yue
    Yang, Kangzhuo
    Chen, Yunping
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [49] Dynamic Retrieval of Olive Tree Properties Using Bayesian Model and Sentinel-2 Images
    Abdelmoula, Hana
    Kallel, Abdelaziz
    Roujean, Jean-Louis
    Gastellu-Etchegorry, Jean-Philippe
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 14 : 9267 - 9286
  • [50] Towards a scalable and transferable approach to map deprived areas using Sentinel-2 images and machine learning
    Owusu, Maxwell
    Nair, Arathi
    Jafari, Amir
    Thomson, Dana
    Kuffer, Monika
    Engstrom, Ryan
    COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2024, 109