The exploration of building detection plays an important role in urban planning,smart city and military.Aiming at the problem of high overlapping ratio of detection frames for dense building detection in high resoluti...The exploration of building detection plays an important role in urban planning,smart city and military.Aiming at the problem of high overlapping ratio of detection frames for dense building detection in high resolution remote sensing images,we present an effective YOLOv3 framework,corner regression-based YOLOv3(Correg-YOLOv3),to localize dense building accurately.This improved YOLOv3 algorithm establishes a vertex regression mechanism and an additional loss item about building vertex offsets relative to the center point of bounding box.By extending output dimensions,the trained model is able to output the rectangular bounding boxes and the building vertices meanwhile.Finally,we evaluate the performance of the Correg-YOLOv3 on our self-produced data set and provide a comparative analysis qualitatively and quantitatively.The experimental results achieve high performance in precision(96.45%),recall rate(95.75%),F1 score(96.10%)and average precision(98.05%),which were 2.73%,5.4%,4.1%and 4.73%higher than that of YOLOv3.Therefore,our proposed algorithm effectively tackles the problem of dense building detection in high resolution images.展开更多
[ Objective] The study aimed to improve methods of monitoring Karst Rocky Desertification （KRD） control projects and increase the working efficiency. [Method] Based on remote sensing images with medium and high spat...[ Objective] The study aimed to improve methods of monitoring Karst Rocky Desertification （KRD） control projects and increase the working efficiency. [Method] Based on remote sensing images with medium and high spatial resolution, KRD control projects in Disi River basin in Puan County were monitored, that is, information of the project construction in the study area was extracted using supervised classification and hu- man-computer interactive interpretation, and the monitoring results were testified with the aid of GPS. [Result] It was feasible to monitor KRD con- trol projects in Disi River basin based on remote sensing images with medium and high resolution, and the monitoring accuracy was satisfactory, reaching above 80% or 90%, so the method is worthy of popularizing. [ Conclusion] Remote sensing images with medium and high resolution can be used to monitor other KRD control Droiects.展开更多
The Dalian-1 Lianli satellite,a 17-kg 12U high-resolution remote sensing CubeSat,was developed to validate a series of innovative technologies,including submeter high-resolution remote sensing imaging,the highreliabil...The Dalian-1 Lianli satellite,a 17-kg 12U high-resolution remote sensing CubeSat,was developed to validate a series of innovative technologies,including submeter high-resolution remote sensing imaging,the highreliability OpenHarmony real-time operating system(RTOS),and the nontoxic hydroxylamine nitrate propulsion system.Launched on 2023 May 10,aboard the Tianzhou-VI cargo spacecraft,the satellite was successfully deployed into orbit on 2024 January 18,following 253 d of in-orbit storage at the China Space Station.Most traditional micro/nanosatellites have poor reliability and real-time performance due to the lack of an RTOS.The satellite uses the free,high-reliability OpenHarmony RTOS with a small kernel for memory-limited microcontroller subsystems.The OpenHarmony RTOS was ported to 3 attitude determination subsystems—a magnetometer,a digital interface sun sensor,and an attitude measurement unit—to test its feasibility in micro/nanosatellites.The ground test and on-orbit verification focused on realtime performance and reliability.Ground tests indicated that the task switching time of the OpenHarmony RTOS averaged≤2μs,and the 3 subsystems continuously and stably operated for more than 1,000 h,and the stable update rate of data for all 3 subsystems had been substantially improved.During on-orbit operations,the telemetry data from the 3 subsystems were normal,demonstrating high stability and reliability and the ability to quickly respond to external events or data.These results lead to the conclusion that the real-time performance and reliability of the subsystems were substantially enhanced after being ported with the OpenHarmony RTOS.Additionally,with the assistance of the 3 subsystems,the Dalian-1 Lianli satellite successfully captured remote sensing images with a resolution better than 1 m,meeting the expected requirements.It is anticipated that in future space missions,more micro/nanosatellites will adopt subsystems ported with the OpenHarmony RTOS.展开更多
基金National Natural Science Foundation of China(No.41871305)National Key Research and Development Program of China(No.2017YFC0602204)+2 种基金Fundamental Research Funds for the Central Universities,China University of Geosciences(Wuhan)(No.CUGQY1945)Open Fund of Key Laboratory of Geological Survey and Evaluation of Ministry of Education and the Fundamental Research Funds for the Central Universities(No.GLAB2019ZR02)Open Fund of Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Natural Resources,China(No.KF-2020-05-068)。
文摘The exploration of building detection plays an important role in urban planning,smart city and military.Aiming at the problem of high overlapping ratio of detection frames for dense building detection in high resolution remote sensing images,we present an effective YOLOv3 framework,corner regression-based YOLOv3(Correg-YOLOv3),to localize dense building accurately.This improved YOLOv3 algorithm establishes a vertex regression mechanism and an additional loss item about building vertex offsets relative to the center point of bounding box.By extending output dimensions,the trained model is able to output the rectangular bounding boxes and the building vertices meanwhile.Finally,we evaluate the performance of the Correg-YOLOv3 on our self-produced data set and provide a comparative analysis qualitatively and quantitatively.The experimental results achieve high performance in precision(96.45%),recall rate(95.75%),F1 score(96.10%)and average precision(98.05%),which were 2.73%,5.4%,4.1%and 4.73%higher than that of YOLOv3.Therefore,our proposed algorithm effectively tackles the problem of dense building detection in high resolution images.
基金Supported by the Key Science and Technology Projects of Guizhou Province,China[(2007)3017,(2008)3022]Major Special Project of Guizhou Province,China(2006-6006-2)
文摘[ Objective] The study aimed to improve methods of monitoring Karst Rocky Desertification （KRD） control projects and increase the working efficiency. [Method] Based on remote sensing images with medium and high spatial resolution, KRD control projects in Disi River basin in Puan County were monitored, that is, information of the project construction in the study area was extracted using supervised classification and hu- man-computer interactive interpretation, and the monitoring results were testified with the aid of GPS. [Result] It was feasible to monitor KRD con- trol projects in Disi River basin based on remote sensing images with medium and high resolution, and the monitoring accuracy was satisfactory, reaching above 80% or 90%, so the method is worthy of popularizing. [ Conclusion] Remote sensing images with medium and high resolution can be used to monitor other KRD control Droiects.
基金support provided by the National Key Research and Development Program of China(Project No.2021YF E0116000)the Fundamental Research Funds for the Central Universities(Project No.DUT22ZD208).
文摘The Dalian-1 Lianli satellite,a 17-kg 12U high-resolution remote sensing CubeSat,was developed to validate a series of innovative technologies,including submeter high-resolution remote sensing imaging,the highreliability OpenHarmony real-time operating system(RTOS),and the nontoxic hydroxylamine nitrate propulsion system.Launched on 2023 May 10,aboard the Tianzhou-VI cargo spacecraft,the satellite was successfully deployed into orbit on 2024 January 18,following 253 d of in-orbit storage at the China Space Station.Most traditional micro/nanosatellites have poor reliability and real-time performance due to the lack of an RTOS.The satellite uses the free,high-reliability OpenHarmony RTOS with a small kernel for memory-limited microcontroller subsystems.The OpenHarmony RTOS was ported to 3 attitude determination subsystems—a magnetometer,a digital interface sun sensor,and an attitude measurement unit—to test its feasibility in micro/nanosatellites.The ground test and on-orbit verification focused on realtime performance and reliability.Ground tests indicated that the task switching time of the OpenHarmony RTOS averaged≤2μs,and the 3 subsystems continuously and stably operated for more than 1,000 h,and the stable update rate of data for all 3 subsystems had been substantially improved.During on-orbit operations,the telemetry data from the 3 subsystems were normal,demonstrating high stability and reliability and the ability to quickly respond to external events or data.These results lead to the conclusion that the real-time performance and reliability of the subsystems were substantially enhanced after being ported with the OpenHarmony RTOS.Additionally,with the assistance of the 3 subsystems,the Dalian-1 Lianli satellite successfully captured remote sensing images with a resolution better than 1 m,meeting the expected requirements.It is anticipated that in future space missions,more micro/nanosatellites will adopt subsystems ported with the OpenHarmony RTOS.
