Normalized Projection Models for Geostationary Remote Sensing Satellite: A Comprehensive Comparative Analysis (January 2019)

Tong, Xiaochong; Yang, Ling; Wang, Jing; Lai, Guangling; Shang, Jian Ku; Qiu, Chunping; Liu, Chengbao; Ding, Lei; He, Li; Zhou, Shengxiong

doi:10.1109/tgrs.2019.2928327

Cited by 14 publications

(4 citation statements)

References 14 publications

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“…For optical sensors, the traditional MO method is used to determine the pointing vector (PV) of each image pixel in the ICS [ 20 , 30 ]. The key aspect of this method is to use the 3-by-3 reflection matrix (RM) of each optical mirror to describe the propagation path of the optical ray from the ground location to the corresponding pixel location in the ICS.…”

Section: Abp Determination Models and Bpe Computing Methodsmentioning

confidence: 99%

A Rapid Beam Pointing Determination and Beam-Pointing Error Analysis Method for a Geostationary Orbiting Microwave Radiometer Antenna in Consideration of Antenna Thermal Distortions

Tong

2021

Sensors

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When observing the Earth’s radiation signal with a geostationary orbiting (GEO) mechanically scanned microwave radiometer, it is necessary to correct the antenna beam pointing (ABP) in real time for the deviation caused by thermal distortions of antenna reflectors with the help of the on-board Image Navigation and Registration (INR) system during scanning of the Earth. The traditional ABP determination and beam-pointing error (BPE) analysis method is based on the electromechanical coupling principle, which usurps time and computing resources and thus cannot meet the requirement for frequent real-time on-board INR operations needed by the GEO microwave radiometer. For this reason, matrix optics (MO), which is widely used in characterizing the optical path of the visible/infrared sensor, is extended to this study so that it can be applied to model the equivalent optical path of the microwave antenna with a much more complicated configuration. Based on the extended MO method, the ideal ABP determination model and the model for determining the actual ABP affected by reflector thermal distortions are deduced for China’s future GEO radiometer, and an MO-based BPE computing method, which establishes a direct connection between the reflector thermal distortion errors (TDEs) and the thermally induced BPE, is defined. To verify the overall performance of the extended MO method for rapid ABP determination, the outputs from the ideal ABP determination model were compared to calculations from GRASP 10.3 software. The experimental results show that the MO-based ABP determination model can achieve the same results as GRASP software with a significant advantage in computational efficiency (e.g., at the lowest frequency band of 54 GHz, our MO-based model yielded a 4,730,000 times faster computation time than the GRASP software). After validating the correctness of the extended MO method, the impacts of the reflector TDEs on the BPE were quantified on a case-by-case basis with the help of the defined BPE computing method, and those TDEs that had a significant impact on the BPE were therefore identified. The methods and results presented in this study are expected to set the basis for the further development of on-board INR systems to be used in China’s future GEO microwave radiometer and benefit the ABP determination and BEP analysis of other antenna configurations to a certain extent.

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Section: Abp Determination Models and Bpe Computing Methodsmentioning

confidence: 99%

A Rapid Beam Pointing Determination and Beam-Pointing Error Analysis Method for a Geostationary Orbiting Microwave Radiometer Antenna in Consideration of Antenna Thermal Distortions

Tong

2021

Sensors

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“…It presents frame images that match the shooting modes of China's new Gaofen-4 nominal projection model. At the end of the experiment, numerous models were designed to compare a detailed analysis of the difference between the three shows with the nominal grid [2]. The detection algorithm systemized image-based analysis, filtering fire pixels, and time analyses are not clear to confirm the actual test-the fire detection comparison between predicted and measured values based on the system [3].…”

Section: Literature Surveymentioning

confidence: 99%

Disaster Monitoring of Satellite Image Processing Using Progressive Image Classification

Mansour¹,

Alabdulkreem²

2023

Computer Systems Science and Engineering

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The analysis of remote sensing image areas is needed for climate detection and management, especially for monitoring flood disasters in critical environments and applications. Satellites are mostly used to detect disasters on Earth, and they have advantages in capturing Earth images. Using the control technique, Earth images can be used to obtain detailed terrain information. Since the acquisition of satellite and aerial imagery, this system has been able to detect floods, and with increasing convenience, flood detection has become more desirable in the last few years. In this paper, a Big Data Set-based Progressive Image Classification Algorithm (PICA) system is introduced to implement an image processing technique, detect disasters, and determine results with the help of the PICA, which allows disaster analysis to be extracted more effectively. The PICA is essential to overcoming strong shadows, for proper access to disaster characteristics to false positives by operators, and to false predictions that affect the impact of the disaster. The PICA creates tailoring and adjustments obtained from satellite images before training and post-disaster aerial image data patches. Two types of proposed PICA systems detect disasters faster and more accurately (95.6%).

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“…These matrices are determined by the angles of rotation 𝛼 for the north-south mirror and 𝛽 for the east-west mirror. The specific derivation process can be found in references [17][18][19].…”

Section: East-westmentioning

confidence: 99%

A Rapid Geolocation Algorithm for Three-axis Stabilization Geostationary Remote Sensing Satellite

Li,

Tong,

Qiu

et al. 2023

Preprint

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The three-axis stabilization geostationary remote sensing satellite features high time resolution and plays a significant role in weather forecasting and environmental monitoring. With the future development of satellite technology, we propose a rapid geolocation algorithm for three-axis stabilization geostationary remote sensing satellites from the perspective of software algorithms. The method assesses conventional remote sensing data geolocation methods and the coordination group for meteorological satellites (CGMS, Coordination Group for Meteorological Satellites) nominal grid publishing format. First, the initial incident viewing vector of each detector on the sensor was constructed. Then, by reflecting the satellite platform's east-west and north-south mirrors, the outgoing vector of the payload coordinate system was obtained. This vector was converted to the satellite body coordinate system and, subsequently, to the satellite orbit coordinate system. The conversion of the earth-fixed coordinate system and the mirror rotation angle under ideal CGMS grid conditions were obtained, and the mirror rotation angle was converted to the corresponding CGMS nominal grid position to complete data positioning. The algorithm omits the complex process of calculating the intersection point between the viewing vector and the geodetic ellipsoid sphere from the earth-fixed coordinate system, resulting in an 83.3% improvement in computational efficiency without compromising positioning accuracy compared with conventional geolocation methods. This algorithm greatly improves the processing efficiency of geostationary meteorological satellite positioning, but its limitation is that the data processing results must be released in the CGMS nominal grid format.

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Normalized Projection Models for Geostationary Remote Sensing Satellite: A Comprehensive Comparative Analysis (January 2019)

Cited by 14 publications

References 14 publications

A Rapid Beam Pointing Determination and Beam-Pointing Error Analysis Method for a Geostationary Orbiting Microwave Radiometer Antenna in Consideration of Antenna Thermal Distortions

A Rapid Beam Pointing Determination and Beam-Pointing Error Analysis Method for a Geostationary Orbiting Microwave Radiometer Antenna in Consideration of Antenna Thermal Distortions

Disaster Monitoring of Satellite Image Processing Using Progressive Image Classification

A Rapid Geolocation Algorithm for Three-axis Stabilization Geostationary Remote Sensing Satellite

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