|
|
Automatic Cloud Detection of GF4 Multispectral Imagery Supported by the Priori Terminal Pixel Library |
Meiyan Shu1,2,3,4(),Xiaohe Gu2,3,4,Lin Sun1(),Jinshan Zhu1,Tingting Chen1,Kai Wang1,Quan Wang1,Guijun Yang1,2,3,4 |
1. College of Surveying Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China 2. Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture, Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China 3. National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China 4. Beijing Engineering Research Center for Agriculture Internet of Things, Beijing 100097, China |
|
|
Abstract The GaoFen4 (GF4) satellite is China’s first geo-synchronous orbit remote sensing satellite. With the advantages of high frequency and wide width, it can provide fast and stable optical remote sensing images for agricultural, forestry, disaster reduction, meteorology, environmental protection, water conservancy and other applications in China. Efficient image automatic cloud detection helps to further improve the utilization efficiency of GaoFen4 images. CDAG(Cloud Detection Algorihtm-Generating)Cloud detection is an automatic cloud detection algorithm based on spectral analysis of pixel components, which can effectively reduce the influence of mixed pixels, complex surface structure and atmosphere. This paper aims to explore the application of CDAG algorithm in cloud detection of GaoFen4 multispectral imagery (GF4-PMS). Firstly, different cloud types and surface cover types were selected from hyperspectral images (AVIRIS) to establish cloud pixel library and clear sky pixel library. Next, the pixel library of multispectral images was simulated based on Hyperspectral pixel library and spectral response function of GF4-PMS sensor. Then, according to the spectral difference analysis of broken cloud, thin cloud, thick cloud and non-cloud pixel, the similarity probability analysis was performed on the to-be-detected pixel of the GF4-PMS image and the terminal pixel, and the GF4-PMS image cloud detection based on the optimal threshold automatic iteration was realized. Finally, cloud detection accuracy verification was carried out from multiple indicators such as cloud pixel correct rate, clear sky pixel correct rate, false positive rate and missed rate. The results show that AVIRIS images can effectively extract terminal pixel libraries for GF4-PMS image cloud detection. Clouds of Various types on GF4-PMS images can be better identified based on the CDAG algorithm. The accuracy of detection results for broken clouds, thin clouds and thick clouds with different time phases and different underlying surfaces can reach more than 90%. Therefore, the cloud detection method based on the priori terminal pixel library has a good application value for improving the utilization efficiency of GF4-PMS images.
|
Received: 01 November 2018
Published: 01 April 2020
|
|
Corresponding Authors:
Lin Sun
E-mail: 2448858578@qq.com;sunlin6@126.com
|
1 |
Wang Mi , Cheng Yufeng , Chang Xueli ,et al .High Accuracy On-orbit Geometric Calibration of Geostationary Satellite GF4 [J].Acta Geodaetica et Cartographica Sinica,2017,46(1):53-61.王密,程宇峰,常学立, 等 .高分四号静止轨道卫星高精度在轨几何定标[J].测绘学报,2017,46(1):53-61.
|
2 |
Song Ting , Gong Shaoqi , Liu Junzhi ,et al .Performance Assessment of Atmospheric Correction for Multimuspectral Data of GF-4 on Inland CaseⅡTurbid Water [J].Spectroscopy and Spectral Analysis,2018(4):1191-1197.宋挺,龚绍琦,刘军志, 等 .浑浊二类水体的高分四号卫星大气校正效果分析[J].光谱学与光谱分析,2018(4):1191-1197.
|
3 |
Wang Quan , Sun Lin , Wei Jing ,et al .Improvement of Dynamic Threshold Cloud Detection Algorithm and Its Application in High Resolution Satellite [J].Acta Optica Sinica,2018,38(10):376-385.王权,孙林,韦晶, 等 .动态阈值云检测方法改进及高分辨率卫星应用[J].光学学报,2018,38(10):376-385.
|
4 |
Liu Xinyan , Sun Lin , Yang Yikun ,et al .Cloud and Cloud Shadow Detection Algorithm for Gaofen-4 Satellite Data [J].Acta Optica Sinica,2018,39(1):446-457.刘心燕,孙林,杨以坤, 等 .高分四号卫星数据云和云阴影检测算法[J].光学学报,2018,39(1):446-457.
|
5 |
Nie Juan , Deng Lei , Hao Xianglei ,et al .Application of GF-4 Satellite in Drought Remote Sensing Monitoring: A case study of Southeastern Inner Mongolia [J].Journal of Remote Sensing,2018,22(3):400-407.聂娟,邓磊,郝向磊, 等 .高分四号卫星在干旱遥感监测中的应用[J].遥感学报,2018,22(3):400-407.
|
6 |
Sun L , Liu X , Yang Y ,et al .A Cloud Shadow Detection Method Dombined with Cloud Height Iteration and Spectral Analysis for Landsat 8 OLI Data[J].ISPRS Journal of Photogrammetry and Remote Sensing,2018,138:193-207.
|
7 |
Qiu S , Zhu Z , He B B .Fmask 4.0: Improved Cloud and Cloud Shadow Detection in Landsats 4–8 and Sentinel-2 Imagery[J].Remote Sensing of Environment,2019,231:111205. .
doi: 10.1016/j.rse.2019.05.024
|
8 |
Rossow W B , Mosher F , Kinsella E ,et al .ISCCP Cloud Algorithm Intercomparison [J].Journal of Applied Meteorology,1985,24(9):184-192.
|
9 |
Rossow W B , Garder L C .Cloud Detection Using Satellite Measurements of Infrared and Visible Radiances for ISCCP [J].Journal of Climate,1993,12(12):2341-2369.
|
10 |
Kriebel K T , Gesell G , Kaâ¨Stner M ,et al .The Cloud Analysis Tool APOLLO: Improvements and Validations[J].International Journal of Remote Sensing,2003,24(12):2389-2408.
|
11 |
Stowe L L , Mcclain E P , Carey R ,et al .Global Distribution of Cloud Cover Derived from NOAA/AVHRR Operational Satellite Data[J].Advances in Space Research,1991,11(3):51-54.
|
12 |
Sun L , Wei J , Wang J ,et al .A Universal Dynamic Threshold Cloud Detection Algorithm (UDTCDA) Supported by a Prior Surface Reflectance Database[J].Journal of Geophysical Research: Atmospheres,2018,121(12):7172-7196.
|
13 |
Sun L , Zhou X , Wei J ,et al .A New Cloud Detection Method Supported by GlobeLand30 Data Set[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2018,11(10):2151-1535.
|
14 |
Gao Xianjun , Wan Youchuan , Zheng Shunyi ,et al .Real-Time Automatic Cloud Detection during the Process of Taking Aerial Photographs [J].Spectroscopy and Spectral Analysis,2014,34(7):1909-1913.高贤君,万幼川,郑顺义, 等 .航空摄影过程中云的实时自动检测[J].光谱学与光谱分析,2014,34(7):1909-1913.
|
15 |
Liu S , Zhang L , Zhang Z ,et al .Automatic Cloud Detection for All-Sky Images Using Superpixel Segmentation [J].IEEE Geoscience & Remote Sensing Letters,2014,12(2):354-358.
|
16 |
Tan Kai , Zhang Yongjun , Tong Xin ,et al .Automatic Cloud Detection for Chinese High Resolution Remote Sensing Satellite Imagery [J].Acta Geodaetica et Cartographica Sinica,2016,45(5):581-591.谭凯,张永军,童心, 等 .国产高分辨率遥感卫星影像自动云检测[J].测绘学报,2016,45(5):581-591.
|
17 |
Fei Wenlong ,Lü Hong, Wei Zhihui .Application of Graph Cut Method in Cloud Detection in Satellite Cloud Image [J].Transactions of Atmospheric Sciences,2012,35(4):502-507.费文龙, 吕红, 韦志辉.图割模型在卫星云图云检测中的应用[J].大气科学学报,2012,35(4):502-507.
|
18 |
Li P , Dong L , Xiao H ,et al .A Cloud Image Detection Method based on SVM Vector Machine[J].Neurocomputing,2015,169:34-42.
|
19 |
Chen Yang , Fan Rongshuang , Wang Jingxue ,et al .Cloud Detection of ZY-3 Satellite Remote Sensing Image based on Deep Learning[J].Acta Optica Sinica,2018,38(1):0128005
|
19 |
陈洋,范荣双,王竞雪,等 .基于深度学习的资源三号卫星遥感影像云检测方法[J].光学学报,2018,38(1):0128005.
|
20 |
Weng Liguo .Satellite Imagery Cloud Fraction based on Deep Extreme Learning Machine [J].Computer Science,2018,45(4):227-232.翁理国.基于深度极限学习机的卫星云图云量计算[J].计算机科学,2018,45(4):227-232.
|
21 |
Sun L , Mi X , Wei J ,et al .A Cloud Detection Algorithm-generating Method for Remote Sensing Data at Visible to Short-wave Infrared Wavelengths[J].Isprs Journal of Photogrammetry and Remote Sensing,2017,124:70-88.
|
22 |
Li Z , Shen H , Li H ,et al .Multi-feature Combined Cloud and Cloud Shadow Detection in GaoFen-1 Wide Field of View Imagery[J].Remote Sensing of Environment,2017,191:342-358.
|
23 |
Foga S , Scaramuzza P L , Guo S ,et al .Cloud Detection Algorithm Comparison and Validation for Operational Landsat data Products[J].Remote Sensing of Environment,2017,194:379-390.
|
24 |
Chena N , Li W , Gatebe C ,et al .New Neural Network Cloud Mask Algorithm based on Radiative Transfer Simulations[J].Remote Sensing of Environment,2018,219:62-71.
|
25 |
Zhu X , Helmer E H .An Automatic Method for Screening Clouds and Cloud Shadows in Optical Satellite Image Yime Series in Cloudy Regions [J].Remote Sensing of Environment,2018,214:135-153.
|
26 |
Qiu S , He B , Zhu Z ,et al .Improving Fmask Cloud and Dloud Shadow Detection Inmountainous Area for Landsats 4–8 Images[J].Remote Sensing of Environment,2017,199:107-119.
|
27 |
Chai D , Newsam S , Zhang K H ,et al .Cloud and Cloud Shadow Detection in Landsat Imagery based on Deep Convolutional Neural Betworks[J].Remote Sensing of Environment,2019,225:307-316.
|
28 |
Zhai H , Zhang H , Zhang L ,et al .Cloud/Shadow Detection based on Spectral Indices for Multi-hyperspectral Optical Remote Sensing Imagery[J].ISPRS Journal of Photogrammetry and Remote Sensing,2018,144:235-253.
|
[1] |
. A New Direct Solution of Range-Doppler model for SAR Image Location[J]. , , (): 0
. |
[2] |
. Monitoring Surface Deformation in Changzhou City Using COSMO-SkyMed Data[J]. , , (): 0
. |
[3] |
Rui YANG Su Yang. U-Net neural networks and its application in high resolution satellite image classification[J]. Remote Sensing Technology and Application, 0, (): 0
. |
[4] |
. An improved Hyperspectral Image Clasification Algorithm Based On Multinomial Logistic Regression[J]. Remote Sensing Technology and Application, 0, (): 0
. |
[5] |
yingchun Fu. A comparative study of urban heterogeneity vegetation coverage estimation model[J]. Remote Sensing Technology and Application, 0, (): 0
. |
[6] |
. [J]. Remote Sensing Technology and Application, 1986, 1(1): 11
-12
. |
[7] |
. [J]. Remote Sensing Technology and Application, 1986, 1(1): 1
-7
. |
[8] |
. [J]. Remote Sensing Technology and Application, 1986, 1(1): 8
-10
. |
[9] |
. [J]. Remote Sensing Technology and Application, 1986, 1(1): 65
-66
. |
[10] |
. [J]. Remote Sensing Technology and Application, 1986, 1(2): 22
-24
. |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|