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Geometric Calibration and Image Quality Assessment of high resolution Dual-Camera satellite

Journal of Beijing Institute of Technology 2021年第2期30卷 125-138页

作者： Zhou Fang Xinrong Wang Wei Ji Meng Xu Yinan Zhang Yan Li Longfei Li Space Star Technology Company Ltd. Beijing 100086China State Key Laboratory of Space-Ground Integrated Information Technology Beijing 100086China Geovis Technology Company Ltd. Beijing 101399China China Academy of Space Technology Beijing 100094China

The evaluation of geometric calibration accuracy of high resolution satellite images has been increasingly recognized in recent years.In order to evaluate geometric accuracy for dual-camera satellite images based on the ground control points(GCP),a rigorous geometric imaging model,which was based on the collinear equation of the probe directional angle and the optimized tri-axial attitude determination(TRIAD)algorithm,is presented.Two reliable test fields in Tianjin and Jinan(China)were utilized for geometric accuracy validation of Pakistan Remote Sensing satellite-1.The experimental results demonstrate a certain deviation of the on-orbit calibration result from the initial design values of the calibration parameters.Therefore,on-orbit geometric calibration is necessary for optical satellite imagery.Within this research,the geometrical performances including positioning accuracy without/with GCP and band registration of the dual-camera satellite were analyzed in detail,and the results of geometric image quality are assessed and discussed.As a result,it is feasible and necessary to establish such a geometric calibration model to evaluate the geometric quality of dual-camera satellite.

关键词： geometric calibration image quality dual-camera high resolution satellite

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The environmental analysis and site selection of mussel and large yellow croaker aquaculture areas based on high resolution remote sensing

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Acta Oceanologica Sinica 2024年第3期43卷 66-86页

作者： Lina Cai Jie Yin Xiaojun Yan Yongdong Zhou Rong Tang Menghan Yu Marine Science and Technology College Zhejiang Ocean UniversityZhoushan 316022China Zhejiang Marine Fisheries Research Institute Zhejiang Ocean UniversityZhoushan 316004China

Mussel aquaculture and large yellow croaker aquaculture areas and their environmental characteristics in Zhoushan were analyzed using satellite data and in-situ surveys.A new two-step remote sensing method was proposed and applied to determine the basic environmental characteristics of the best mussel and large yellow croaker aquaculture areas.This methodology includes the first step of extraction of the location distribution and the second step of the extraction of internal environmental factors.The fishery ranching index(FRI1,FRI2)was established to extract the mussel and the large yellow croaker aquaculture area in Zhoushan,using Gaofen-1(GF-1)and Gaofen-6(GF-6)satellite data with a special resolution of 2 m.In the second step,the environmental factors such as sea surface temperature(SST),chlorophyll a(Chl-a)concentration,current and tide,suspended sediment concentration(SSC)in mussel aquaculture area and large yellow croaker aquaculture area were extracted and analyzed in detail.The results show the following three points.(1)For the extraction of the mussel aquaculture area,FRI1 and FRI2 are complementary,and the combination of FRI1 and FRI2 is suitable to extract the mussel aquaculture area.As for the large yellow croaker aquaculture area extraction,FRI2 is suitable.(2)Mussel aquaculture and the large yellow croaker aquaculture area in Zhoushan are mainly located on the side near the islands that are away from the eastern open waters.The water environment factor template suitable for mussel and large yellow croaker aquaculture was determined.(3)This two-step remote sensing method can be used for the preliminary screening of potential site selection for the mussels and large yellow croaker aquaculture area in the future.the fishery ranching index(FRI1,FRI2)in this paper can be applied to extract the mussel and large yellow croaker aquaculture areas in coastal waters around the world.

关键词： mussel aquaculture area large yellow croaker aquaculture area high resolution satellite site selection environmental analysis

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Research on Vehicle identification based on high resolution satellite remote sensing image

Research on Vehicle identification based on high resolution ...

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作者： Dudu Guo Shunying Zhu Ji'ao Wei Wuhan University of Technology Xinjiang University

Traditional traffic information acquisition methods had many limitations,so the acquisition of road traffic information from high-resolution satellite images had become a research hotspot in intelligent traffic system.In this paper,the object oriented classification method is used to establish the vehicle detection and processing process of high resolution satellite image.First,the high resolution satellite image was processed by median filtering and denoising,and the enhancement of vehicle information in remote sensing images was realized by using the stretch of gray histogram.Secondly,the image was segmented to the optimal scale,and the optimal segmentation scale was determined by the method of the maximum average area of the vehicle.Then according to different color characteristics of vehicles with dark establish a separate classification rule set,based on the object-oriented classification of vehicle classification,by extracting feature threshold classification more bright color vehicles,using relationship between classes of vehicles using fuzzy classification method to extract the dark color vehicles,finally formed a high-resolution satellite remote sensing overall framework of vehicle detection.

关键词： Vehicle identification high resolution satellite Framework of vehicle detection Bright color vehicles Dark color vehicles

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