Pub Date : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849295
Qin Zong, Kuan Tian, Qiu Zuo, Wenjing Wang
Aiming at the problem of similarity measurement of complex polygon with holes, the idea of filling holes is proposed, and complex polygon with holes are gradually filled into simple polygon. We called the graphics in the filling process are transformed graphics. Firstly, using transformed graphics constructing fuzzy matrix; Secondly, the area similarity of transformed graphics constructing matrix element value; Finally, Calculating the fuzzy equivalence relationship of the fuzzy matrix to determine the similarity of complex polygon with holes.
{"title":"A Similarity Measurement Model of Complex Polygon with Holes Based on Fuzzy Matrix and Similarity Transformation","authors":"Qin Zong, Kuan Tian, Qiu Zuo, Wenjing Wang","doi":"10.1109/ICGMRS55602.2022.9849295","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849295","url":null,"abstract":"Aiming at the problem of similarity measurement of complex polygon with holes, the idea of filling holes is proposed, and complex polygon with holes are gradually filled into simple polygon. We called the graphics in the filling process are transformed graphics. Firstly, using transformed graphics constructing fuzzy matrix; Secondly, the area similarity of transformed graphics constructing matrix element value; Finally, Calculating the fuzzy equivalence relationship of the fuzzy matrix to determine the similarity of complex polygon with holes.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"12 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":"117120085","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/ICGMRS55602.2022.9849319
Yaqin Liu, Yan Liu, Xian Zhu, Yanyu Chen
A localization method based on model-based processing technology is studied for wideband pulse signals in the environment with elastic seabed. Based on normal mode theory, the measurement equation is constructed using the relationship between the pressure ration of Scholte wave to normal mode and the source position. The target positioning method of model-based processing is established using the sequential Bayesian technology and particle filtering. The positioning performance of the proposed method is verified by simulation results from a shallow-water Pekeris waveguide with elastic seabed. In addition, the positioning performance of the pressure radio and vertical wave impedance as the measurement vector are simulated and analyzed respectively. Simulation results show that the source depth and the range can be correctly estimated by the two methods, and the two methods exhibit excellent positioning performance. Compared with the vertical wave impedance, the pressure radio can exhibit excellent positioning performance with less information.
{"title":"Research on Model-Based Signal Localization Processing for Waveguide with Elastic Seabed","authors":"Yaqin Liu, Yan Liu, Xian Zhu, Yanyu Chen","doi":"10.1109/ICGMRS55602.2022.9849319","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849319","url":null,"abstract":"A localization method based on model-based processing technology is studied for wideband pulse signals in the environment with elastic seabed. Based on normal mode theory, the measurement equation is constructed using the relationship between the pressure ration of Scholte wave to normal mode and the source position. The target positioning method of model-based processing is established using the sequential Bayesian technology and particle filtering. The positioning performance of the proposed method is verified by simulation results from a shallow-water Pekeris waveguide with elastic seabed. In addition, the positioning performance of the pressure radio and vertical wave impedance as the measurement vector are simulated and analyzed respectively. Simulation results show that the source depth and the range can be correctly estimated by the two methods, and the two methods exhibit excellent positioning performance. Compared with the vertical wave impedance, the pressure radio can exhibit excellent positioning performance with less information.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"3 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":"127109181","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/ICGMRS55602.2022.9849394
Jie Xu, Qingwen Zhang
To solve the ventilation tunnel pressure in the main hole with a certain slope tunnel junction produces high concentration of dust particles and harmful gas is difficult to get rid of disadvantages, based on water diversion project in yunnan Dali II period of bench mountain tunnel no. 1, on the measurements of the tunnel, first of all to modify the ventilation parameters, secondly establish three-dimensional model, USES the fluid calculation software Fluent, Through transient simulation, the standard K - $varepsilon$ turbulence model and SIMPLEC algorithm were used for numerical simulation of jet fan layout at different heights. Finally, the flow field, wind speed and wind pressure under two working conditions were compared and analyzed to obtain the optimal height of jet fan layout and corresponding ventilation characteristics of tunnel. The results show that the flow line of wind speed at the intersection of main tunnel and branch tunnel is stable but the vortex range of branch tunnel is large when the jet fan arrangement is low. When the layout is higher, the wind velocity streamline at the intersection of main tunnel and branch tunnel is disordered, and the vortex range of branch tunnel is smaller. The best flow diversion effect is achieved at 3.5m height of jet fan.
{"title":"CFD analysis of jet fan layout optimization at intersection of branch tunnel and main tunnel","authors":"Jie Xu, Qingwen Zhang","doi":"10.1109/ICGMRS55602.2022.9849394","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849394","url":null,"abstract":"To solve the ventilation tunnel pressure in the main hole with a certain slope tunnel junction produces high concentration of dust particles and harmful gas is difficult to get rid of disadvantages, based on water diversion project in yunnan Dali II period of bench mountain tunnel no. 1, on the measurements of the tunnel, first of all to modify the ventilation parameters, secondly establish three-dimensional model, USES the fluid calculation software Fluent, Through transient simulation, the standard K - $varepsilon$ turbulence model and SIMPLEC algorithm were used for numerical simulation of jet fan layout at different heights. Finally, the flow field, wind speed and wind pressure under two working conditions were compared and analyzed to obtain the optimal height of jet fan layout and corresponding ventilation characteristics of tunnel. The results show that the flow line of wind speed at the intersection of main tunnel and branch tunnel is stable but the vortex range of branch tunnel is large when the jet fan arrangement is low. When the layout is higher, the wind velocity streamline at the intersection of main tunnel and branch tunnel is disordered, and the vortex range of branch tunnel is smaller. The best flow diversion effect is achieved at 3.5m height of jet fan.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"1553 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":"127443917","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/ICGMRS55602.2022.9849265
H. Jiang, Yinfei Zhou, G. Zheng, Xiaofeng Li, B. Liu, Lizhang Zhou, Peng Chen
A tropical cyclone is a natural disaster that occurs frequently and usually brings much precipitation when it makes landfall. Tropical cyclone rainbands are an essential element in the tropical cyclone system and are often associated with tropical cyclone’s rainfall. Synthetic aperture radar (SAR) and satellite cloud images are two main observation methods to obtain tropical cyclone images. However, most previous studies focused on the satellite cloud images of tropical cyclones, and few studies on the tropical cyclones in SAR images, especially the rainbands. Therefore, in this paper, we collected SAR images containing tropical cyclone rainbands elements to observe the performance of rainbands in SAR images. Based on these data, the rainbands region in SAR images is identified and labeled by human eyes. This paper establishes a neural network data set containing tropical cyclone rainbands features to automatically extract tropical cyclone rainbands region from SAR images by using a neural network. Finally, one independent SAR image of tropical cyclones was selected for testing, and the extracted results showed great consistency with the human visual interpretation results.
{"title":"Tropical Cyclone Rainbands in SAR Images","authors":"H. Jiang, Yinfei Zhou, G. Zheng, Xiaofeng Li, B. Liu, Lizhang Zhou, Peng Chen","doi":"10.1109/ICGMRS55602.2022.9849265","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849265","url":null,"abstract":"A tropical cyclone is a natural disaster that occurs frequently and usually brings much precipitation when it makes landfall. Tropical cyclone rainbands are an essential element in the tropical cyclone system and are often associated with tropical cyclone’s rainfall. Synthetic aperture radar (SAR) and satellite cloud images are two main observation methods to obtain tropical cyclone images. However, most previous studies focused on the satellite cloud images of tropical cyclones, and few studies on the tropical cyclones in SAR images, especially the rainbands. Therefore, in this paper, we collected SAR images containing tropical cyclone rainbands elements to observe the performance of rainbands in SAR images. Based on these data, the rainbands region in SAR images is identified and labeled by human eyes. This paper establishes a neural network data set containing tropical cyclone rainbands features to automatically extract tropical cyclone rainbands region from SAR images by using a neural network. Finally, one independent SAR image of tropical cyclones was selected for testing, and the extracted results showed great consistency with the human visual interpretation results.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"207 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":"123109825","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}
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}
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}
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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