Pub Date : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849341
Sujun Yang, Jiacheng Shen, Panhao Shi, Xiang Ma
Regarded as the most important object of marine environmental monitoring, wave condition especially the height, period measurement technology has comprehensively involved various means during the deepening of wave research. Among many wave measuring methods, wave measuring buoy is recognized as the most direct and accurate equipment. Acceleration integration and turbine flow meter constitute the traditional mainstream of wave testing. GPS and MEMS sensors have been developed to measure waves in recent years. Because buoy is a wave measuring equipment that directly contacts the sea surface, its measuring accuracy is higher than that of other wave measuring methods, so it is also considered by foreign countries as the most direct and accurate wave measuring equipment. In this paper, GPS and MEMS sensing technology are mainly used to analyze the wave height and period measurement. At the same time, the main development process of the wave height gauge is introduced extensively. Finally, the accuracy and repeatability of the wave height meter are tested by means of walking crane, certificated meter ruler and stopwatch. The test results show that it can meet the relevant standards of wave measurement and monitoring. On this basis, the sensor is tested in the South China Sea, and the reliability of the instrument is further verified. In one word, the paper can provide theoretical basis and technical support for the research and development of wave measurement equipment and promote the practical application in the field of wave condition monitoring.
{"title":"Development of Telemetry Wave Instrument Based on MEMS Sensing Technology","authors":"Sujun Yang, Jiacheng Shen, Panhao Shi, Xiang Ma","doi":"10.1109/ICGMRS55602.2022.9849341","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849341","url":null,"abstract":"Regarded as the most important object of marine environmental monitoring, wave condition especially the height, period measurement technology has comprehensively involved various means during the deepening of wave research. Among many wave measuring methods, wave measuring buoy is recognized as the most direct and accurate equipment. Acceleration integration and turbine flow meter constitute the traditional mainstream of wave testing. GPS and MEMS sensors have been developed to measure waves in recent years. Because buoy is a wave measuring equipment that directly contacts the sea surface, its measuring accuracy is higher than that of other wave measuring methods, so it is also considered by foreign countries as the most direct and accurate wave measuring equipment. In this paper, GPS and MEMS sensing technology are mainly used to analyze the wave height and period measurement. At the same time, the main development process of the wave height gauge is introduced extensively. Finally, the accuracy and repeatability of the wave height meter are tested by means of walking crane, certificated meter ruler and stopwatch. The test results show that it can meet the relevant standards of wave measurement and monitoring. On this basis, the sensor is tested in the South China Sea, and the reliability of the instrument is further verified. In one word, the paper can provide theoretical basis and technical support for the research and development of wave measurement equipment and promote the practical application in the field of wave condition monitoring.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129133693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To solve the problem of low contrast and serious loss of detail information after dehazing directly using the atmospheric scattering model. This paper proposes a novel night image defogging model that combines the Retinex and the atmospheric scattering models. This model incorporates the best of both algorithms. Retinex can enhance the contrast of the image and the detailed information of the image. The atmospheric scattering model can clearly describe the imaging principle of the haze map, and restore the haze-free image from the root. In qualitative and quantitative experiments, this paper compares four methods on public datasets. This algorithm’s average image information entropy processed by this algorithm is 6.995, the average peak signal-to-noise ratio is 19.340, and the average structural similarity is 0.766. Compared with the other four algorithms, the comparative test results show that the algorithm in this paper can effectively remove the haze in the nighttime image, restore the detailed information of the image, and promote the progress of the algorithm.
{"title":"A Novel Nighttime Dehazing Model Integrating Retinex Algorithm and Atmospheric Scattering Model","authors":"Hang Yu, Chenyang Li, Zhiheng Liu, Yuru Guo, Zichuan Xie, Suiping Zhou","doi":"10.1109/ICGMRS55602.2022.9849369","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849369","url":null,"abstract":"To solve the problem of low contrast and serious loss of detail information after dehazing directly using the atmospheric scattering model. This paper proposes a novel night image defogging model that combines the Retinex and the atmospheric scattering models. This model incorporates the best of both algorithms. Retinex can enhance the contrast of the image and the detailed information of the image. The atmospheric scattering model can clearly describe the imaging principle of the haze map, and restore the haze-free image from the root. In qualitative and quantitative experiments, this paper compares four methods on public datasets. This algorithm’s average image information entropy processed by this algorithm is 6.995, the average peak signal-to-noise ratio is 19.340, and the average structural similarity is 0.766. Compared with the other four algorithms, the comparative test results show that the algorithm in this paper can effectively remove the haze in the nighttime image, restore the detailed information of the image, and promote the progress of the algorithm.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"44 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132360839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wireless backhaul over sea requires long-range and high-speed transmissions. To achieve this, a promising technology is the E-band millimeter-wave (mm-wave) communication. However, E-band long-range propagation can be largely affected by over-sea environments and meteorological conditions. In the paper, we report an experimental study on 74 GHz mm-wave propagation of around 12.2 km distance over sea. Based on 4-day measurements across the sea near Sanya Bay, China, we provide initial analysis of propagation characteristics in terms of average received power, received power variation, cross-polarization ratio (XPR), and how they are affected by meteorological conditions. Results show that the amount of water vapor in the atmosphere affects signal power attenuation. The higher the absolute humidity, the lower the received signal power. In a short time of 30 s, the received power variation can be as high as 10 dB and seems related to wind speed. It is also observed that vertically-polarized waves have considerably less attenuation than horizontally-polarized waves. The research gives a preliminary insight into E-band long-range propagation properties in over-sea environments.
{"title":"E-Band Propagation Measurements and Initial Analysis for Long-Range Communication Over Sea","authors":"Hang Yang, Haifeng Mou, Chengnan Sun, Zhenyang Guo, Xichen Liu, Siran Ding, Xianbing Zou, Xiang Gao","doi":"10.1109/ICGMRS55602.2022.9849392","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849392","url":null,"abstract":"Wireless backhaul over sea requires long-range and high-speed transmissions. To achieve this, a promising technology is the E-band millimeter-wave (mm-wave) communication. However, E-band long-range propagation can be largely affected by over-sea environments and meteorological conditions. In the paper, we report an experimental study on 74 GHz mm-wave propagation of around 12.2 km distance over sea. Based on 4-day measurements across the sea near Sanya Bay, China, we provide initial analysis of propagation characteristics in terms of average received power, received power variation, cross-polarization ratio (XPR), and how they are affected by meteorological conditions. Results show that the amount of water vapor in the atmosphere affects signal power attenuation. The higher the absolute humidity, the lower the received signal power. In a short time of 30 s, the received power variation can be as high as 10 dB and seems related to wind speed. It is also observed that vertically-polarized waves have considerably less attenuation than horizontally-polarized waves. The research gives a preliminary insight into E-band long-range propagation properties in over-sea environments.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132709741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849364
W. Fang
In order to study the ship situation when marine ship traffic flow passes through a cross-sectional gate line in the sea, ArcGIS is used to carry out data analysis. Firstly, the application of GIS in traffic flow analysis is described; secondly, the specific process of using ArcGIS to analyze the ship traffic flow on the cross-sectional goal line is illustrated, and the problems of two-way flow analysis, ship flow analysis and analysis visualization on the cross-section are solved. Based on the data of Automatic Identification System (AIS) for ships near Weizhou Island, the analysis of ship traffic flow on a mutually perpendicular two-section gateline is carried out using ArcGIS, and the analysis results are given.
{"title":"Application of ArcGIS in the analysis of ship traffic flow over a cross-sectional gate line","authors":"W. Fang","doi":"10.1109/ICGMRS55602.2022.9849364","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849364","url":null,"abstract":"In order to study the ship situation when marine ship traffic flow passes through a cross-sectional gate line in the sea, ArcGIS is used to carry out data analysis. Firstly, the application of GIS in traffic flow analysis is described; secondly, the specific process of using ArcGIS to analyze the ship traffic flow on the cross-sectional goal line is illustrated, and the problems of two-way flow analysis, ship flow analysis and analysis visualization on the cross-section are solved. Based on the data of Automatic Identification System (AIS) for ships near Weizhou Island, the analysis of ship traffic flow on a mutually perpendicular two-section gateline is carried out using ArcGIS, and the analysis results are given.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134079682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849232
Yu Luo, Mengdi Cheng, Qian-Qian Li, Xizhao Song
During the installation of ultra-short baseline underwater acoustic positioning system, it is difficult to ensure that the array coordinate system and the surveying ship coordinate system completely coincide, and there is a certain systematic installation error, which affects the positioning accuracy of the system, so it needs to be accurately calibrated. According to the principle of coordinate transformation, this paper proposes a calibration method of installation error based on quaternion method, and constructs a three-dimensional coordinate transformation model. The simulation results show that the proposed method has obvious convergence of the underwater target distribution after calibration, and is superior to the classical Euler angle algorithm, which significantly improves the positioning accuracy of ultra-short baseline underwater acoustic positioning system.
{"title":"Calibration method for installation error of ultra-short baseline based on quaternion","authors":"Yu Luo, Mengdi Cheng, Qian-Qian Li, Xizhao Song","doi":"10.1109/ICGMRS55602.2022.9849232","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849232","url":null,"abstract":"During the installation of ultra-short baseline underwater acoustic positioning system, it is difficult to ensure that the array coordinate system and the surveying ship coordinate system completely coincide, and there is a certain systematic installation error, which affects the positioning accuracy of the system, so it needs to be accurately calibrated. According to the principle of coordinate transformation, this paper proposes a calibration method of installation error based on quaternion method, and constructs a three-dimensional coordinate transformation model. The simulation results show that the proposed method has obvious convergence of the underwater target distribution after calibration, and is superior to the classical Euler angle algorithm, which significantly improves the positioning accuracy of ultra-short baseline underwater acoustic positioning system.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134100360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849305
Chao Diao, Guoqing Sang, Junnuo Wang
As one of the most devastating disasters threatening human's survival, flood disaster will lead to casualties and economic losses directly. In order to scientifically manage flood disasters and reduce losses, this paper, taking the typical flood process in Linyi in 2020 as an example, selects typical rivers and reservoirs as the research object. Moreover, Based on seven remote sensing images sourcing from Sentinel-1A from August 3 to August 27, 2020, the threshold method is used to extract the water body information before, during and after the disaster, obtaining the flood inundation range and spatial distribution. Simultaneously, data which are derived from the Landsat8 OLI and GF-1 are used to be compared with those from Sentinel-1A in October 2020 to verify the results, and the accuracy reaches 98.64% and 97.46% respectively. The results show that Sentinel1A SAR data can provide effective real-time flood monitoring data, and the threshold method can improve the timeliness of flood monitoring, realize dynamic monitoring of floods in different periods in Linyi, and provide rapid scientific disaster relief and disaster assessment.
{"title":"Research on the Application of Remote Sensing Monitoring to Flood Monitoring Based on Sentinel-1A in Linyi City","authors":"Chao Diao, Guoqing Sang, Junnuo Wang","doi":"10.1109/ICGMRS55602.2022.9849305","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849305","url":null,"abstract":"As one of the most devastating disasters threatening human's survival, flood disaster will lead to casualties and economic losses directly. In order to scientifically manage flood disasters and reduce losses, this paper, taking the typical flood process in Linyi in 2020 as an example, selects typical rivers and reservoirs as the research object. Moreover, Based on seven remote sensing images sourcing from Sentinel-1A from August 3 to August 27, 2020, the threshold method is used to extract the water body information before, during and after the disaster, obtaining the flood inundation range and spatial distribution. Simultaneously, data which are derived from the Landsat8 OLI and GF-1 are used to be compared with those from Sentinel-1A in October 2020 to verify the results, and the accuracy reaches 98.64% and 97.46% respectively. The results show that Sentinel1A SAR data can provide effective real-time flood monitoring data, and the threshold method can improve the timeliness of flood monitoring, realize dynamic monitoring of floods in different periods in Linyi, and provide rapid scientific disaster relief and disaster assessment.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133362132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The marine environmental factors are systematically analyzed for influencing the CSBD quality, and the recommended and minimum requirements of sea conditions are respectively revealed for collecting Crowdsourced Bathymetry Data (CSBD). Firstly, the main environmental factors that affect the CSBD accuracy are analyzed, including direct factors (such as sound velocity and ocean tide) and indirect factors (like wind and waves). Secondly, the random models for simulating wind and waves are established, meanwhile the statistical models for estimating sound velocity and ocean tide are constructed. Thus, the ship’s attitude, sound velocity and tidal change under the different sea condition are calculated quantitatively, and the CSBD accuracy is estimated under the corresponding conditions. Finally, the relation between CSBD accuracy and marine environmental factors is constructed. The experimental results demonstrate that: (1) The marine environmental factor that has the greatest impact on the accuracy of the CSBD is wind and wave. Under the condition of level-3 wind and level-2 wave, the CSBD quality can meet the specification requirements. (2) WOA 18 model can effectively improve the CSBD accuracy. And the corrected SVP error can meet the requirements. (3) The tidal value is calculated by DTU10 model, of which the accuracy is about 0.11m.
{"title":"Uncertainty Modeling of Crowdsourced Bathymetry Data Influenced by Marine Environment","authors":"Shuaidong Jia, Zhicheng Liang, Lihua Zhang, Hao Yuan","doi":"10.1109/ICGMRS55602.2022.9849245","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849245","url":null,"abstract":"The marine environmental factors are systematically analyzed for influencing the CSBD quality, and the recommended and minimum requirements of sea conditions are respectively revealed for collecting Crowdsourced Bathymetry Data (CSBD). Firstly, the main environmental factors that affect the CSBD accuracy are analyzed, including direct factors (such as sound velocity and ocean tide) and indirect factors (like wind and waves). Secondly, the random models for simulating wind and waves are established, meanwhile the statistical models for estimating sound velocity and ocean tide are constructed. Thus, the ship’s attitude, sound velocity and tidal change under the different sea condition are calculated quantitatively, and the CSBD accuracy is estimated under the corresponding conditions. Finally, the relation between CSBD accuracy and marine environmental factors is constructed. The experimental results demonstrate that: (1) The marine environmental factor that has the greatest impact on the accuracy of the CSBD is wind and wave. Under the condition of level-3 wind and level-2 wave, the CSBD quality can meet the specification requirements. (2) WOA 18 model can effectively improve the CSBD accuracy. And the corrected SVP error can meet the requirements. (3) The tidal value is calculated by DTU10 model, of which the accuracy is about 0.11m.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132977930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Navigation environment and traffic flow information are important decision-making information for safe navigation of ships and play an increasingly important role in the evolution of autonomous ships. To improve the technical level and ability of perception, cognition and decision-making of ship intelligent navigation system, a concomitant location-based information exchange method of navigation safety risk is proposed, an application layer message coding format suitable for low broadband and multi-link is designed, and an active information exchange mode based on ship route planning is established.
{"title":"Location-based Safety Risk Information Exchange Method for Intelligent Ships","authors":"Jianan Luo, Lijiang Gui, Zhaoyan Qian, Shunliang Gu, Xiongfei Geng, Duan Jing","doi":"10.1109/ICGMRS55602.2022.9849398","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849398","url":null,"abstract":"Navigation environment and traffic flow information are important decision-making information for safe navigation of ships and play an increasingly important role in the evolution of autonomous ships. To improve the technical level and ability of perception, cognition and decision-making of ship intelligent navigation system, a concomitant location-based information exchange method of navigation safety risk is proposed, an application layer message coding format suitable for low broadband and multi-link is designed, and an active information exchange mode based on ship route planning is established.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122339734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849390
Shenglong Li, Xianglei Liu
Road data form remote sensing is important for GIS modeling, vector analysis, and smart cities. Recently, there has been many scholars have successively combined deep learning with road extraction to meet practical needs. Based on the former research, this paper uses D-LinkNet50 which combines the pretrained LinkNet architecture with the dilation convolution. Training on the data set provided by DigitalGlobe, the results have shown that this D-LinkNet50 has achieved 83.1%, 79.7%, 81.3% in accuracy, recall, and F1-score, respectively, which is higher than that of D-LinkNet34 network 0.7%, 1.4%, 1.0%. So the extraction accuracy is significantly improved.
{"title":"Multi-type road extraction and analysis of high-resolution images with D-LinkNet50","authors":"Shenglong Li, Xianglei Liu","doi":"10.1109/ICGMRS55602.2022.9849390","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849390","url":null,"abstract":"Road data form remote sensing is important for GIS modeling, vector analysis, and smart cities. Recently, there has been many scholars have successively combined deep learning with road extraction to meet practical needs. Based on the former research, this paper uses D-LinkNet50 which combines the pretrained LinkNet architecture with the dilation convolution. Training on the data set provided by DigitalGlobe, the results have shown that this D-LinkNet50 has achieved 83.1%, 79.7%, 81.3% in accuracy, recall, and F1-score, respectively, which is higher than that of D-LinkNet34 network 0.7%, 1.4%, 1.0%. So the extraction accuracy is significantly improved.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124035976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849320
Yuhao Tan, Xiaomeng Li, Xiufeng Yang, Yongtao Jin
With the widespread application of multi-source remote sensing data, there are higher requirements for the consistency of data interpretation of different sensors. In view of the fact that the wide space coverage of the wide-format multispectral sensor carried by the domestic GF-1 satellite has a large observation field of view, a normalized model of the angle of the domestic high-resolution satellite is proposed to eliminate the differences caused by the observation geometry between the wide-width multispectral sensors of the domestic high-resolution satellite. Landsat-8 images are used as auxiliary data for orthography correction, and cross radiometric calibration method and atmospheric correction of 6S model are used for radiometric correction. Combined with MODIS low-resolution BRDF product data, the linear semi-empirical kernel-driven model was used to conduct BRDF correction for reflectivity data, and the observation angle is normalized to zenzenical direction. The reflectivity data of the Landsat-8 product is then used to compare with the effects. The results show that the normalized images have better reflectance information, and the rates of change in the first band of each sensor are 12.7%, 5.33%, 3.8%, and 5.07%, respectively, which confirms the applicability and feasibility of this angle normalization method.
{"title":"Research and Analysis on the Angles Normalization of the Domestic GF-1 Satellite Based on MODIS BRDF Products","authors":"Yuhao Tan, Xiaomeng Li, Xiufeng Yang, Yongtao Jin","doi":"10.1109/ICGMRS55602.2022.9849320","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849320","url":null,"abstract":"With the widespread application of multi-source remote sensing data, there are higher requirements for the consistency of data interpretation of different sensors. In view of the fact that the wide space coverage of the wide-format multispectral sensor carried by the domestic GF-1 satellite has a large observation field of view, a normalized model of the angle of the domestic high-resolution satellite is proposed to eliminate the differences caused by the observation geometry between the wide-width multispectral sensors of the domestic high-resolution satellite. Landsat-8 images are used as auxiliary data for orthography correction, and cross radiometric calibration method and atmospheric correction of 6S model are used for radiometric correction. Combined with MODIS low-resolution BRDF product data, the linear semi-empirical kernel-driven model was used to conduct BRDF correction for reflectivity data, and the observation angle is normalized to zenzenical direction. The reflectivity data of the Landsat-8 product is then used to compare with the effects. The results show that the normalized images have better reflectance information, and the rates of change in the first band of each sensor are 12.7%, 5.33%, 3.8%, and 5.07%, respectively, which confirms the applicability and feasibility of this angle normalization method.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128572282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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