An Improved Cloud Detection Method of Optical Remote Sensing Image

被引:0
|
作者
Gao, Yang [1 ]
Zhou, Hao-tian [2 ]
Chen, Liang [2 ]
机构
[1] China Acad Space Technol, Beijing 100094, Peoples R China
[2] Beijing Inst Technol, Radar Res Lab, Beijing 100081, Peoples R China
关键词
Cloud detection; Remote sensing; Feature extraction; RADIANCES;
D O I
10.1007/978-981-10-7521-6_32
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The effect of cloud cover on the quality of remote sensing data becomes an unavoidable problem when dealing with a large amount of remote sensing data obtained from satellite sensors. As an important meteorological element, cloud plays a vital role in all areas of atmospheric science. In this paper, we propose a cloud detection method based on multi-feature hierarchical judgement. First, the gray histogram of the object to be interpreted is extracted and the histogram is intercepted to remove the singular value. Then, five types of feature are employed in feature extraction. After that, the objects to be interpreted is divided into single type and mixed type, and mixed type can be further divided into certain mixed type and uncertain type. Finally, threshold method and support vector machine(SVM) are employed to classify these types. Experiment has shown good performance of the proposed method.
引用
收藏
页码:265 / 271
页数:7
相关论文
共 50 条
  • [1] A novel method for remote sensing image cloud detection
    Wang Zhongmei
    Gu Xingfa
    Wei Xi
    REMOTE SENSING OF THE ATMOSPHERE, CLOUDS, AND PRECIPITATION V, 2014, 9259
  • [2] Cloud Detection Method Based on Improved DeeplabV3+Remote Sensing Image
    Qian, Jianguo
    Ci, Jinlong
    Tan, Hai
    Xu, Wenwen
    Jiao, Yang
    Chen, Peiyou
    IEEE ACCESS, 2024, 12 : 9229 - 9242
  • [3] A Lightweight Ship Detection Method in Optical Remote Sensing Image under Cloud Interference
    Yu, Jinxiang
    Peng, Xiyuan
    Li, Shaoli
    Lu, Yibo
    Ma, Wenjia
    2021 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC 2021), 2021,
  • [4] Real-time cloud detection in optical remote sensing image
    Yan, Yu-Song
    Long, Teng
    Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 2010, 30 (07): : 817 - 821
  • [5] Optimization Method of Parallel Processing for Remote Sensing Image Cloud Detection
    Li Zhao
    Li Yede
    Gao Mingliang
    PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 3795 - 3798
  • [6] Lightweight Object Detection Method for Optical Remote Sensing Image
    Wang Hao
    Yin Zengshan
    Liu Guohua
    Hu Denghui
    Gao Shuang
    LASER & OPTOELECTRONICS PROGRESS, 2022, 59 (22)
  • [7] Automatic cloud detection for remote sensing image
    Yu, Wenxia
    Cao, Xiaoguang
    Xu, Lin
    Bencherkei, Mohamed
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2006, 27 (SUPPL.): : 2184 - 2186
  • [8] TANet: Thin Cloud-Aware Network for Cloud Detection in Optical Remote Sensing Image
    Xu, Xinyi
    He, Wei
    Xia, Yu
    Zhang, Hongyan
    Wu, Yuwei
    Jiang, Zhen
    Hu, Ting
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 63
  • [9] Optical Remote Sensing Image Target Detection Based on Improved Feature Pyramid
    Wei, Runxi
    Feng, Zhejun
    Wu, Zengyan
    Yu, Chaoran
    Song, Baoming
    Cao, Changqing
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2023, 16 : 7507 - 7517
  • [10] Method for cloud removal of optical remote sensing images using improved CGAN network
    Pei A.
    Chen G.
    Li H.
    Wang B.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2020, 36 (14): : 194 - 202