Atmospheric Correction of Satellite Images Using a Neural Network

被引：0
|
作者：
Grishkin, V. [1 ]
Karimov, S. [1 ]
Fedorova, A. [1 ]
机构：
[1] St Petersburg State Univ, St Petersburg, Russia
来源：
PHYSICS OF PARTICLES AND NUCLEI | 2024年 / 55卷 / 03期
关键词：
D O I：
10.1134/S1063779624030432
中图分类号：
O412 [相对论、场论]; O572.2 [粒子物理学];
学科分类号：
摘要：
During remote sensing of the Earth, satellite equipment registers solar radiation reflected by the Earth's surface. This reflected radiation travels through the atmosphere, distorting the spectral characteristics of the radiation that would reach the satellite's sensors. The task of atmospheric correction is to eliminate the influence of these distortions. The paper proposes a method for correcting satellite images using a simple neural network with an encoder-decoder architecture. This method allows for automation of the process of atmospheric correction for "raw" satellite images.
引用
收藏
页码：545 / 547
页数：3
相关论文
共 50 条
  • [1] ATMOSPHERIC CORRECTION OF SATELLITE INFRARED IMAGES BY MEANS OF AN ATMOSPHERIC MODEL
    PEREZ, AM
    ILLERA, P
    CASANOVA, JL
    SOVIET JOURNAL OF REMOTE SENSING, 1994, 11 (03): : 424 - 433
  • [2] Estimation of variable atmospheric parameters for the atmospheric correction of satellite images
    Kuusk, Andres
    Kuusk, Joel
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2018, 39 (02) : 565 - 576
  • [3] Atmospheric correction of airborne infrared hyperspectral images using neural networks
    Lesage, S.
    Achard, V.
    Chedin, A.
    Poutier, L.
    REMOTE SENSING OF CLOUDS AND THE ATMOSPHERE XI, 2006, 6362
  • [4] A DEEP LEARNING PERSPECTIVE TO ATMOSPHERIC CORRECTION OF SATELLITE IMAGES
    Shah, Maitrik
    Raval, Mehul S.
    Divakaran, Srikrishnan
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 346 - 349
  • [5] ATMOSPHERIC CORRECTION OF SATELLITE IMAGES OVER RUGGED TERRAIN
    Iikura, Yoshikazu
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 2340 - 2343
  • [6] A sensor invariant atmospheric correction method for satellite images
    Yin, Feng
    Gomez-Dans, J.
    Lewis, P.
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 1804 - 1807
  • [7] Atmospheric correction for HY-1C CZI images using neural network in western Pacific region
    Men, Jilin
    Liu, Jianqiang
    Xia, Guangping
    Yue, Tong
    Tong, Ruqing
    Tian, Liqiao
    Arai, Kohei
    Wang, Linyu
    GEO-SPATIAL INFORMATION SCIENCE, 2022, 25 (03) : 476 - 488
  • [8] Using unsupervised neural network approach to improve classification of satellite images
    Sari, Karima
    Ghedjati, Fatima
    Tighiouart, Bornia
    INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2015, 51 (01) : 3 - 8
  • [9] Atmospheric Correction of Gaofen-2 Panchromatic Satellite Images
    Zheng Yang
    Li Zhengqiang
    Wang Siheng
    Ma Yan
    Li Kaitao
    Zhang Yuhuan
    Liu Zhenhai
    Yang Leiku
    Hou Weizhen
    Gu Haoran
    Li Yinna
    Yao Qian
    He Zhuo
    ACTA OPTICA SINICA, 2023, 43 (06)
  • [10] Segmentation of Satellite Images of the Earth's surface using Neural Network Technologies
    Bagaev, Stanislav
    Medvedeva, Elena
    PROCEEDINGS OF THE 28TH CONFERENCE OF OPEN INNOVATIONS ASSOCIATION FRUCT, 2021, : 15 - 21
12345