Pub Date : 2015-06-16DOI: 10.1109/RAST.2015.7208387
N. Isik, Bulent Avenoglu, S. Imre, Ibrahim S. Acikgoz, Muammer Eroglu
Tübitak Uzay (The Scientific and Technological Research Council of Turkey, Space Technologies Research Institute) has acquired significant experience of designing, building and operating earth observation satellites for over a decade. Currently, a new generation ground station software suite is under development. The suite is developed in-house and can easily be adapted for other earth observation satellites. A modular mission planning tool named UzayMP, takes place in the suite. UzayMP lowers the operational costs, simplifies the operators' job, enables realization of high quality imaging missions and supports lifecycle of the satellite, with the possibility of adaptation for future satellite missions. The software generates conflict-free single or multi imaging mission scheduling files, which include sequences of telecommands, for the imaging targets requested by the operator. It also generates conflict-free transmission and system task plans in the specified time interval.
t bitak Uzay(土耳其科学和技术研究理事会、空间技术研究所)十多年来在设计、建造和操作地球观测卫星方面积累了丰富的经验。目前，新一代地面站软件套件正在开发中。该套件是内部开发的，可以很容易地适用于其他地球观测卫星。一个名为UzayMP的模块化任务规划工具在套件中进行。UzayMP降低了操作成本，简化了操作人员的工作，实现了高质量的成像任务，支持卫星的生命周期，并有可能适应未来的卫星任务。该软件生成无冲突的单个或多个成像任务调度文件，其中包括操作员要求的成像目标的远程指令序列。它还在指定的时间间隔内生成无冲突的传输和系统任务计划。
{"title":"UzayMP: Modular mission planning tool for earth observation satellites with imaging payload","authors":"N. Isik, Bulent Avenoglu, S. Imre, Ibrahim S. Acikgoz, Muammer Eroglu","doi":"10.1109/RAST.2015.7208387","DOIUrl":"https://doi.org/10.1109/RAST.2015.7208387","url":null,"abstract":"Tübitak Uzay (The Scientific and Technological Research Council of Turkey, Space Technologies Research Institute) has acquired significant experience of designing, building and operating earth observation satellites for over a decade. Currently, a new generation ground station software suite is under development. The suite is developed in-house and can easily be adapted for other earth observation satellites. A modular mission planning tool named UzayMP, takes place in the suite. UzayMP lowers the operational costs, simplifies the operators' job, enables realization of high quality imaging missions and supports lifecycle of the satellite, with the possibility of adaptation for future satellite missions. The software generates conflict-free single or multi imaging mission scheduling files, which include sequences of telecommands, for the imaging targets requested by the operator. It also generates conflict-free transmission and system task plans in the specified time interval.","PeriodicalId":282476,"journal":{"name":"2015 7th International Conference on Recent Advances in Space Technologies (RAST)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132678514","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 : 2015-06-16DOI: 10.1109/RAST.2015.7208360
Abdullah H. Ozcan, C. Unsalan, P. Reinartz
Crowd monitoring is an important task of security forces. If an emergency occurs during large events, authorities should take urgent measures to prevent causalities. Also understanding crowd dynamics such as tracking crowds or sparse people goups before an emergency occurs is a need. Therefore, crowd detection and analysis is a critical research area. There are several studies for crowd monitoring that use street or indoor cameras which may not be directly used for analyzing large crowds. In this study, we approach the problem using aerial images. We propose two novel methods. In the first method, we use first-order spatial point statistics. It uses the nearest neighbor relations for each person in the image to detect crowd regions. Our second method also uses the first order statistics with an additional sparse people group detection flexibility. We test the proposed methods on two aerial images and provide quantitative test results.
{"title":"Sparse people group and crowd detection using spatial point statistics in airborne images","authors":"Abdullah H. Ozcan, C. Unsalan, P. Reinartz","doi":"10.1109/RAST.2015.7208360","DOIUrl":"https://doi.org/10.1109/RAST.2015.7208360","url":null,"abstract":"Crowd monitoring is an important task of security forces. If an emergency occurs during large events, authorities should take urgent measures to prevent causalities. Also understanding crowd dynamics such as tracking crowds or sparse people goups before an emergency occurs is a need. Therefore, crowd detection and analysis is a critical research area. There are several studies for crowd monitoring that use street or indoor cameras which may not be directly used for analyzing large crowds. In this study, we approach the problem using aerial images. We propose two novel methods. In the first method, we use first-order spatial point statistics. It uses the nearest neighbor relations for each person in the image to detect crowd regions. Our second method also uses the first order statistics with an additional sparse people group detection flexibility. We test the proposed methods on two aerial images and provide quantitative test results.","PeriodicalId":282476,"journal":{"name":"2015 7th International Conference on Recent Advances in Space Technologies (RAST)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132750455","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 : 2015-06-16DOI: 10.1109/RAST.2015.7208329
R. Abay, W. Wiesel
A new method for orbit prediction, which is as accurate as numerical methods and as fast as analytical methods, in terms of computational time, is needed. Kolmogorov-Arnold-Moser (KAM) torus orbit prediction method is a modern orbit determination that can meet the aforementioned needs. This paper presents a differential correction technique to create parameters needed by the new theory and an approximate accuracy analysis of the new orbit determination method by using Simplified General Perturbations 4 (SGP4) and Two-Line Element Set (TLE) as observational data.
{"title":"Kolmogorov-Arnold-Moser torus orbit prediction from two-line element sets","authors":"R. Abay, W. Wiesel","doi":"10.1109/RAST.2015.7208329","DOIUrl":"https://doi.org/10.1109/RAST.2015.7208329","url":null,"abstract":"A new method for orbit prediction, which is as accurate as numerical methods and as fast as analytical methods, in terms of computational time, is needed. Kolmogorov-Arnold-Moser (KAM) torus orbit prediction method is a modern orbit determination that can meet the aforementioned needs. This paper presents a differential correction technique to create parameters needed by the new theory and an approximate accuracy analysis of the new orbit determination method by using Simplified General Perturbations 4 (SGP4) and Two-Line Element Set (TLE) as observational data.","PeriodicalId":282476,"journal":{"name":"2015 7th International Conference on Recent Advances in Space Technologies (RAST)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133911249","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 : 2015-06-16DOI: 10.1109/RAST.2015.7208393
Demet Cilden, Z. Kaymaz, C. Hajiyev
In this study, two geomagnetic field models, T89 and IGRF-11 models are compared with the satellite observations Total magnetic field, magnetic field components and angle between the model and observed data are used for comparisons. The differences are important for the satellite attitude determination systems where the total magnetic field and the angle between the model vector and the observed vector are essential. T89 model differs from the observations by an amount of (0.1-0.3)×104 nT in the total magnetic field. Differences increase when the geomagnetic activity occurs. Differences in the angle can range from 20 to 30o. Differences are found to be the highest in By component and the lowest in Bz component Comparisons are also made between the IGRF and T89 models. Two models are found to be the most different during the high geomagnetic activity periods.
{"title":"Comparison of geomagnetic field from models and satellite observations for attitude determination purposes","authors":"Demet Cilden, Z. Kaymaz, C. Hajiyev","doi":"10.1109/RAST.2015.7208393","DOIUrl":"https://doi.org/10.1109/RAST.2015.7208393","url":null,"abstract":"In this study, two geomagnetic field models, T89 and IGRF-11 models are compared with the satellite observations Total magnetic field, magnetic field components and angle between the model and observed data are used for comparisons. The differences are important for the satellite attitude determination systems where the total magnetic field and the angle between the model vector and the observed vector are essential. T89 model differs from the observations by an amount of (0.1-0.3)×104 nT in the total magnetic field. Differences increase when the geomagnetic activity occurs. Differences in the angle can range from 20 to 30o. Differences are found to be the highest in By component and the lowest in Bz component Comparisons are also made between the IGRF and T89 models. Two models are found to be the most different during the high geomagnetic activity periods.","PeriodicalId":282476,"journal":{"name":"2015 7th International Conference on Recent Advances in Space Technologies (RAST)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131881846","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 : 2015-06-16DOI: 10.1109/RAST.2015.7208391
Osman Yucel, S. Açik, K. Toker, Z. Dursunkaya, M. Aksel
This study investigates the ballistic design optimization of three-dimensional grains of solid rocket motors (SRMs). The geometric modeling and burnback analysis of grains are performed analytically by using basic geometries like cylinder, cone, prism, sphere, ellipsoid, and torus. For the internal ballistic analysis, a quasi-steady zero-dimensional flow solver is used. Three different optimization methods are considered: real-coded genetic algorithm (GA), binary genetic algorithm and complex method. The optimization methods are applied to the problems of finding the parameters of grain geometry satisfying an objective thrust versus time profile and maximizing the parameter of total impulse satisfying the constraints of chamber pressure and propellant mass.
{"title":"Three-dimensional grain design optimization of solid rocket motors","authors":"Osman Yucel, S. Açik, K. Toker, Z. Dursunkaya, M. Aksel","doi":"10.1109/RAST.2015.7208391","DOIUrl":"https://doi.org/10.1109/RAST.2015.7208391","url":null,"abstract":"This study investigates the ballistic design optimization of three-dimensional grains of solid rocket motors (SRMs). The geometric modeling and burnback analysis of grains are performed analytically by using basic geometries like cylinder, cone, prism, sphere, ellipsoid, and torus. For the internal ballistic analysis, a quasi-steady zero-dimensional flow solver is used. Three different optimization methods are considered: real-coded genetic algorithm (GA), binary genetic algorithm and complex method. The optimization methods are applied to the problems of finding the parameters of grain geometry satisfying an objective thrust versus time profile and maximizing the parameter of total impulse satisfying the constraints of chamber pressure and propellant mass.","PeriodicalId":282476,"journal":{"name":"2015 7th International Conference on Recent Advances in Space Technologies (RAST)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132288401","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 : 2015-06-16DOI: 10.1109/RAST.2015.7208407
R. Hocine, A. Boudjemai, K. Belkacemi, A. Amrani
The ability of a PV module in spatial applications is to withstand the effects of periodic hot-spot heating that occurs when panel cells are operated under reverse biased conditions due to the properties of the cell's semi-conductor materials. Hot-spot is produced when one PV cell is partially shaded. The affected cell is forced into reverse bias (starting to dissipate power, with a consequent temperature increase). This can damage the cell encapsulation and eventually produce module failure. In addition, the thermal effect influences the estimation of the maximum power point (MPP) and electrical parameters for the PV modules, such as maximum output power, maximum conversion efficiency, internal efficiency, reliability, and lifetime. In this paper, the Transmission Line Matrix method (TLM) was used for first one in research to map the surface temperature distribution of solar panel in reverse bias mode. Two models have been considered: poly and amorphous silicon based cells to calculate the junction temperature for a given input power and to localise hot spots of the panel under power conditions. It was observed that some cells exhibited an inhomogeneity of the surface temperature resulting in localized heating. This can damage the cell encapsulation and eventually produce PV panel failure. The TLM technique has been successful in modeling various heat diffusion and mass transport problems and has proven to be efficient in terms of stability, complex geometries and the incorporation of non linear material properties. The three dimensional results show that the method has a considerable potential in PV panel thermal analysis and design.
{"title":"A three-dimensional TLM simulation method for analysis of thermal effect in the space solar panel","authors":"R. Hocine, A. Boudjemai, K. Belkacemi, A. Amrani","doi":"10.1109/RAST.2015.7208407","DOIUrl":"https://doi.org/10.1109/RAST.2015.7208407","url":null,"abstract":"The ability of a PV module in spatial applications is to withstand the effects of periodic hot-spot heating that occurs when panel cells are operated under reverse biased conditions due to the properties of the cell's semi-conductor materials. Hot-spot is produced when one PV cell is partially shaded. The affected cell is forced into reverse bias (starting to dissipate power, with a consequent temperature increase). This can damage the cell encapsulation and eventually produce module failure. In addition, the thermal effect influences the estimation of the maximum power point (MPP) and electrical parameters for the PV modules, such as maximum output power, maximum conversion efficiency, internal efficiency, reliability, and lifetime. In this paper, the Transmission Line Matrix method (TLM) was used for first one in research to map the surface temperature distribution of solar panel in reverse bias mode. Two models have been considered: poly and amorphous silicon based cells to calculate the junction temperature for a given input power and to localise hot spots of the panel under power conditions. It was observed that some cells exhibited an inhomogeneity of the surface temperature resulting in localized heating. This can damage the cell encapsulation and eventually produce PV panel failure. The TLM technique has been successful in modeling various heat diffusion and mass transport problems and has proven to be efficient in terms of stability, complex geometries and the incorporation of non linear material properties. The three dimensional results show that the method has a considerable potential in PV panel thermal analysis and design.","PeriodicalId":282476,"journal":{"name":"2015 7th International Conference on Recent Advances in Space Technologies (RAST)","volume":"266 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130358607","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 : 2015-06-16DOI: 10.1109/RAST.2015.7208378
Goksel Gurgenburan, E. Cinar
The first high resolution research and development (R&D) earth observation satellite of Turkey, named as GÖKTÜRK-2 (GKT-2), was successfully launched on 18 December 2012 from Jiuquan Satellite Launch Center, China on a LM-2D launcher to its Low Earth Orbit (LEO). Reaching its operational LEO, the satellite underwent in orbit tests lasting for about 6 months. Both space and ground segments passed acceptance and commissioning tests successfully before the satellite was fully ceded to Turkish Air Force (TurAF) satellite operations team. After commissioning, regular operations such as telemetry, tracking, and command (TT&C), mission planning, data acquisition and image processing have started. This paper will include GKT-2 mission overview, technical specifications and nominal operations loop concept which describes on orbit servicing (OOS), mission planning, image acquisition modes, storage planning and restriction, TT&C, trend analyses and conjunction assessment.
{"title":"GÖKTÜRK-2: Two years of operation","authors":"Goksel Gurgenburan, E. Cinar","doi":"10.1109/RAST.2015.7208378","DOIUrl":"https://doi.org/10.1109/RAST.2015.7208378","url":null,"abstract":"The first high resolution research and development (R&D) earth observation satellite of Turkey, named as GÖKTÜRK-2 (GKT-2), was successfully launched on 18 December 2012 from Jiuquan Satellite Launch Center, China on a LM-2D launcher to its Low Earth Orbit (LEO). Reaching its operational LEO, the satellite underwent in orbit tests lasting for about 6 months. Both space and ground segments passed acceptance and commissioning tests successfully before the satellite was fully ceded to Turkish Air Force (TurAF) satellite operations team. After commissioning, regular operations such as telemetry, tracking, and command (TT&C), mission planning, data acquisition and image processing have started. This paper will include GKT-2 mission overview, technical specifications and nominal operations loop concept which describes on orbit servicing (OOS), mission planning, image acquisition modes, storage planning and restriction, TT&C, trend analyses and conjunction assessment.","PeriodicalId":282476,"journal":{"name":"2015 7th International Conference on Recent Advances in Space Technologies (RAST)","volume":"408 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113998402","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 : 2015-06-16DOI: 10.1109/RAST.2015.7208361
E. Baseski, Caglar Cenaras
With the increasing number of aerial and satellite image sources, automated interpretation algorithms are becoming more and more crucial. Automatically determining the cloud coverage reduces image preprocessing time and aids automatic image exploitation algorithms about where to look. The proposed method makes use of both color and texture characteristics of cloud regions. The image is divided into subimages in order to perform initial color and edge analysis. Further analysis is done by classifying patches as cloud and non-cloud with respect to texture based features.
{"title":"Texture and color based cloud detection","authors":"E. Baseski, Caglar Cenaras","doi":"10.1109/RAST.2015.7208361","DOIUrl":"https://doi.org/10.1109/RAST.2015.7208361","url":null,"abstract":"With the increasing number of aerial and satellite image sources, automated interpretation algorithms are becoming more and more crucial. Automatically determining the cloud coverage reduces image preprocessing time and aids automatic image exploitation algorithms about where to look. The proposed method makes use of both color and texture characteristics of cloud regions. The image is divided into subimages in order to perform initial color and edge analysis. Further analysis is done by classifying patches as cloud and non-cloud with respect to texture based features.","PeriodicalId":282476,"journal":{"name":"2015 7th International Conference on Recent Advances in Space Technologies (RAST)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124829225","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 : 2015-06-16DOI: 10.1109/RAST.2015.7208351
Aziz Ahmed, Muhammad Muaz, Manzoor Ali, Muhammad Yasir, S. Ullah, Shahbaz Khan
Classifying cash crops through satellite based remote sensing has proved to be effective for reliable ground based agricultural statistics. In this study, frequently used simple and fast classification algorithms i.e., Mahalanobis Distance and Maximum Likelihood Classification (MLC) are compared for classifying tobacco crops by the end of June in north-western Pakistan. High Geometric Resolution imagery of SPOT-5 (2.5m) is used as the base image for comparison over a large pilot region. Our results indicate that MLC is more accurate than its simple form Mahalanobis distance with overall accuracy of 93.91% and kappa coefficient of 0.9181. Though it is visually seen that MLC has over-estimated tobacco crops in the unclassified region but this effect is mitigated with the help of two additional classes namely `interfering separation' and `interfering settlements'. It is recommended to use and compare MLC for future detection of tobacco crops in north-western Pakistan.
{"title":"Mahalanobis distance and maximum likelihood based classification for identifying tobacco in Pakistan","authors":"Aziz Ahmed, Muhammad Muaz, Manzoor Ali, Muhammad Yasir, S. Ullah, Shahbaz Khan","doi":"10.1109/RAST.2015.7208351","DOIUrl":"https://doi.org/10.1109/RAST.2015.7208351","url":null,"abstract":"Classifying cash crops through satellite based remote sensing has proved to be effective for reliable ground based agricultural statistics. In this study, frequently used simple and fast classification algorithms i.e., Mahalanobis Distance and Maximum Likelihood Classification (MLC) are compared for classifying tobacco crops by the end of June in north-western Pakistan. High Geometric Resolution imagery of SPOT-5 (2.5m) is used as the base image for comparison over a large pilot region. Our results indicate that MLC is more accurate than its simple form Mahalanobis distance with overall accuracy of 93.91% and kappa coefficient of 0.9181. Though it is visually seen that MLC has over-estimated tobacco crops in the unclassified region but this effect is mitigated with the help of two additional classes namely `interfering separation' and `interfering settlements'. It is recommended to use and compare MLC for future detection of tobacco crops in north-western Pakistan.","PeriodicalId":282476,"journal":{"name":"2015 7th International Conference on Recent Advances in Space Technologies (RAST)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122165026","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 : 2015-06-16DOI: 10.1109/RAST.2015.7208306
M. Yaylı, S. Y. Kandemir, Y. C. Toklu
Lunar exploration is very important in the world. Investigation of lunar surface materials such as Agglutinitic Glass (A), Morris Is/FeO (M), LSCC Is/FeO (L), Total Pyx (T) and Plagioclase (P) is increase last years. The prediction of lunar surface materials including A, M, L, T and P is significant. In this study, the A (one of the important materials in the moon) were predicted by applying the linear regression analysis model. The R2 and R2adj are calculated that 81.20% and 75.83%, respectively. Finally, it was concluded that A can reliably be predicted by using the linear regression analysis model.
{"title":"Assessment of lunar surface materials","authors":"M. Yaylı, S. Y. Kandemir, Y. C. Toklu","doi":"10.1109/RAST.2015.7208306","DOIUrl":"https://doi.org/10.1109/RAST.2015.7208306","url":null,"abstract":"Lunar exploration is very important in the world. Investigation of lunar surface materials such as Agglutinitic Glass (A), Morris Is/FeO (M), LSCC Is/FeO (L), Total Pyx (T) and Plagioclase (P) is increase last years. The prediction of lunar surface materials including A, M, L, T and P is significant. In this study, the A (one of the important materials in the moon) were predicted by applying the linear regression analysis model. The R2 and R2adj are calculated that 81.20% and 75.83%, respectively. Finally, it was concluded that A can reliably be predicted by using the linear regression analysis model.","PeriodicalId":282476,"journal":{"name":"2015 7th International Conference on Recent Advances in Space Technologies (RAST)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128431359","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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