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An Improved Fmask Method for Cloud Detection in GF-6 WFV Based on Spectral-Contextual Information

Xiaomeng Yang, Lin Sun, Xinming Tang, Bo Ai, Hanwen Xu, Zhen Wen
2021 Remote Sensing  
Hence, this paper proposes an improved Fmask based on the spectral-contextual information to solve the inapplicability of Fmask version 3.2 in GF-6.  ...  However, due to the narrow band range contained in GF-6, Fmask version 3.2 for Landsat is not suitable for GF-6.  ...  Acknowledgments: The authors would like to thank Land Satellite Remote Sensing Application Center for providing the GF-6 WFV data. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13234936 fatcat:6hxkbcxcyjd3jjwhoo3ofdqara

Cloud and Cloud Shadow Detection Based on Multiscale 3D-CNN for High Resolution Multispectral Imagery

Yang Chen, Luliang Tang, Zihan Kan, Aamir Latif, Xiucheng Yang, Muhammad Bilal, Qingquan Li
2020 IEEE Access  
In this study, an end-to-end multiscale 3D-CNN method is proposed for cloud and cloud shadow detection in high resolution multispectral imagery.  ...  Experimental results on two validation datasets (GF-1 WFV validation data and ZY-3 validation data) show that the proposed multiscale-3D-CNN method achieved good performance with limited spectral ranges  ...  Image classification based on feature extraction and machine learning is also an effective method for cloud and cloud shadow detection. Li et al.  ... 
doi:10.1109/access.2020.2967590 fatcat:kelju6iiwngpzhtr5nnz6dzzxe

Cloud detection methodologies: variants and development—a review

Seema Mahajan, Bhavin Fataniya
2019 Complex & Intelligent Systems  
Cloud detection is an essential and important process in satellite remote sensing. Researchers proposed various methods for cloud detection.  ...  It applied the multi-spectral synthesis method and cloud detection index on the spectrum analysis for each pixel cloud detection.  ...  features based on dual- color models NA [56] Cloud/no cloud 200 HJ-1/CCD and GF-1/WFV images Automatic cloud cover assessment (ACCA), based on relationship Between objects of cloud and cloud  ... 
doi:10.1007/s40747-019-00128-0 fatcat:ftol5w36vzdwzpuqeijsz2dct4

Deep network based on up and down blocks using wavelet transform and successive multi-scale spatial attention for cloud detection

Jing Zhang, Hui Wang, Yuchen Wang, Qin Zhou, Yunsong Li
2021 Remote Sensing of Environment  
Therefore, we propose a method to detect cloud pixels in the GaoFen-1 WFV images.  ...  Due to the diversity of the cloud and the complexity of underlying surfaces, most of the current cloud detection methods still face great challenges, especially in detecting thin cloud.  ...  Acknowledgements We are very grateful for Zhiwei Li and Huanfeng Shen from the  ... 
doi:10.1016/j.rse.2021.112483 fatcat:ceiwzatddfb75a52k65kvcxtkq

Table of Contents

2020 IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium  
-1 WFV CLOUD .......................................... 5317 DETECTION METHOD BASED CDAG ALGORITHM Kai Wang, Tingting Chen, Xueting Mi, ShanDong University of Science and Technology, China TU1-R19.8: AN  ...  EXTRACTION OF BUILT-UP AREAS FOR CITIES IN CHINA FROM ............................ 4399 GF-3 IMAGES BASED ON IMPROVED RESIDUAL U-NET NETWORK JuanJuan Li, Chao Wang, Hong Zhang, Fan Wu, Lu Li, Chinese  ...  FR1-R18: NETWORK BASED CLASSIFIER  ... 
doi:10.1109/igarss39084.2020.9323828 fatcat:6aittajt35gufeaugcmemu5cya