Land Cover Classification Using CNN and Semantic Segmentation: A Case of Study in Antioquia, Colombia

被引：0
|
作者：
González-Vélez, Juan C. [1 ]
Martinez-Vargas, Juan D. [1 ]
Torres-Madronero, Maria C. [1 ]
机构：
[1] MIRP Lab - Instituto Tecnológico Metropolitano - ITM, Medellín, Colombia
来源：
Communications in Computer and Information Science | 2022年 / 1532 CCIS卷
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
2nd International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2021
中图分类号：
学科分类号：
摘要：
Biodiversity - Ecosystems - Land use - Learning algorithms - Satellite imagery - Semantic Segmentation - Semantics - Statistical tests - Synthetic aperture radar
引用
收藏
页码：306 / 317
相关论文
共 50 条
  • [41] Monitoring of land use and land cover changes by using fuzzy supervised classification method: A case study of Antalya, Turkey
    Sonmez, Namik Kemal
    Onur, Isin
    JOURNAL OF FOOD AGRICULTURE & ENVIRONMENT, 2012, 10 (3-4): : 963 - 967
  • [42] Land-use data collection using the "land cover classification system": results from a case study in Kenya
    Jansen, LJM
    Di Gregorio, A
    LAND USE POLICY, 2003, 20 (02) : 131 - 148
  • [43] P-Swin: Parallel Swin transformer multi-scale semantic segmentation network for land cover classification
    Wang, Di
    Yang, Ronghao
    Zhang, Zhenxin
    Liu, Hanhu
    Tan, Junxiang
    Li, Shaoda
    Yang, Xiaoxia
    Wang, Xiao
    Tang, Kangqi
    Qiao, Yichun
    Su, Po
    COMPUTERS & GEOSCIENCES, 2023, 175
  • [44] Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters
    Pan, Suoyan
    Guan, Haiyan
    Chen, Yating
    Yu, Yongtao
    Goncalves, Wesley Nunes
    Marcato Junior, Jose
    Li, Jonathan
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 166 : 241 - 254
  • [45] Land-cover classification with hyperspectral remote sensing image using CNN and spectral band selection
    Solomon, A. Arun
    Agnes, S. Akila
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2023, 31
  • [46] SEMANTIC KNOWLEDGE EMBEDDING DEEP LEARNING NETWORK FOR LAND COVER CLASSIFICATION
    Chen, Jiage
    Du, Xiao
    Zhang, Junhui
    Wan, Yongtao
    Zhao, Wenzhi
    GEOSPATIAL WEEK 2023, VOL. 48-1, 2023, : 85 - 90
  • [47] Semantic-Aware Region Loss for Land-Cover Classification
    Zheng, Xianwei
    Ma, Qiyuan
    Huan, Linxi
    Xie, Xiao
    Xiong, Hanjiang
    Gong, Jianya
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2023, 16 : 4139 - 4152
  • [48] Change detection in land-cover pattern using region growing segmentation and fuzzy classification
    Lee, S
    IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET, 2002, : 3414 - 3416
  • [49] Change Detection in Land-Cover Pattern Using Region Growing Segmentation and Fuzzy Classification
    Lee, Sang -Noon
    KOREAN JOURNAL OF REMOTE SENSING, 2005, 21 (01) : 83 - 89
  • [50] Image segmentation scale parameter optimization and land cover classification using the Random Forest algorithm
    Smith, A.
    JOURNAL OF SPATIAL SCIENCE, 2010, 55 (01) : 69 - 79
12345