Contents
2024
Volume: 45 Issue 5
14 Article(s)

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[in Chinese]
Research on the Impact Characteristics of Re-entry Capsule with Airbags under Wave Conditions
Jiapeng HAN, Shiqing WU, Yang ZHANG, Jiangli LEI, Wei HUANG, and Meifang ZHU
In order to study the water impact characteristics of the re-entry capsule with airbags under wave conditions, based on a combination model of a certain type of re-entry capsule and airbags, a multi-media coupling model of re-entry capsule-air bag-wave-air is established by using the fluid-structure coupling algorithm,
Spacecraft Recovery & Remote Sensing
  • Publication Date: Oct. 30, 2024
  • Vol. 45, Issue 5, 1 (2024)
Research on Flight Kinematics of the Parafoil System under Wind
Liang DONG, Yanjun LI, Yang CHENG, and Li YU
To investigate the wind effect on the flight kinematics of the parafoil system, a six-degree-of-freedom flight dynamics model considering wind interference is established. Runge Kuta method is applied to simulate the gliding performance of the parafoil system, and the numerical results of the parafoil flight kinematics
Spacecraft Recovery & Remote Sensing
  • Publication Date: Oct. 30, 2024
  • Vol. 45, Issue 5, 13 (2024)
[in Chinese]
Design of the Infrared Optical System for Panoramic Girth Secondary Imaging
Yifan LIU, Feng ZHOU, Bin HU, and Libing JIN
The traditional panoramic ring optical system is composed of a single lens panoramic block and a relay lens system, without an intermediate image plane and mostly used in the visible light band. It can not limit the stray light outside the imaging field of view through the field of view diaphragm, and the light can rea
Spacecraft Recovery & Remote Sensing
  • Publication Date: Oct. 30, 2024
  • Vol. 45, Issue 5, 23 (2024)
Optimization and Practice of the Thermal Control System for Batch Production of Remote Sensing Satellites
Yuanbo ZHANG, Jian HUANG, Lin KONG, Tian BAI, Ming SHEN, Maosheng CHEN, and Jiwei ZOU
In response to the requirements for the development of mass production remote sensing satellites, an optimization strategy for the thermal control system was explored and applied to the development process of a certain batch of Jilin-1 satellites. Compared to the development process of single satellites, which focuses
Spacecraft Recovery & Remote Sensing
  • Publication Date: Oct. 30, 2024
  • Vol. 45, Issue 5, 31 (2024)
[in Chinese]
The RFM Iterative Adjustment Method for Optical Satellite Remote Sensing Imagery
Junpeng YU, Zilong ZHANG, and Xinyu LI
The RFM model for optical satellite remote sensing images is a major model for geometric processing of optical satellite remote sensing images, and its adjustment method has always been a focus of satellite photogrammetry research. This article proposes an RFM iterative adjustment method based on the image space adjust
Spacecraft Recovery & Remote Sensing
  • Publication Date: Oct. 30, 2024
  • Vol. 45, Issue 5, 43 (2024)
A Multispectral and Panchromatic Image Fusion Algorithm Based on Particle Swarm Optimization and Pulse-Coupled Neural Network
Zhiwei ZHAO, Yukai FU, and Shuwen YANG
In order to further reduce the spectral and spatial distortion of the fused images from multispectral and panchromatic images, and improve the fusion quality, this paper proposes a particle swarm optimization pulse coupled neural network algorithm for multispectral and panchromatic image fusion. Based on the fusion fra
Spacecraft Recovery & Remote Sensing
  • Publication Date: Oct. 30, 2024
  • Vol. 45, Issue 5, 51 (2024)
Hyperspectral Image Destriping Method Based on Nonlocal Low-Rank and Total Variation
Xiangyang KONG, Jiao ZHANG, Hui WANG, and Baogen XU
Due to factors such as uneven pixel response of the detector, mechanical motion of the sensor, and temperature changes during image acquisition, hyperspectral images often contain stripe noise. Current destriping methods often focus on the overall properties of the stripes and ignore their non-local similarity, making
Spacecraft Recovery & Remote Sensing
  • Publication Date: Oct. 30, 2024
  • Vol. 45, Issue 5, 64 (2024)
Infrared Dim Target Detection Based on Time-Space Domain Feature Fusion
Shuwei CUI, and Wenbo WU
Infrared target detection faces challenges such as limited effective pixels, low SNR, and difficulty in distinguishing targets from background and noise in the spatial domain. In response, we propose a infrared target detection method based on a spatiotemporal feature extraction module and an improved YOLOv5 object det
Spacecraft Recovery & Remote Sensing
  • Publication Date: Oct. 30, 2024
  • Vol. 45, Issue 5, 79 (2024)
Remote Sensing Image Change Detection Based on Scale-Aware and Spatial Selection Hierarchical Interaction
Pan SHAO, Zongsheng GUAN, Weiqi FU, Fanyu ZENG, Zemin CHENG, and Weichao SHI
Currently, remote sensing image change detection methods based on deep learning are still not effective enough to be satisfactory when dealing with images with significant scale changes, and most of the methods lack effective interactions between different layers of features in the decoding stage. Aiming at the above p
Spacecraft Recovery & Remote Sensing
  • Publication Date: Oct. 30, 2024
  • Vol. 45, Issue 5, 89 (2024)
Study on Remote Sensing Estimation of Regional Evapotranspiration Based on GF-5B VIMI Data and the SEBS Model
Lijuan ZHANG, Haiyong DING, Chao ZHENG, Jiayu LIN, and Lingfeng YIN
Evapotranspiration is a key component of the global water cycle and significantly impacts water cycling and energy balance. However, existing evapotranspiration data exhibit limitations in their spatial and temporal resolution. To address this issue, this paper employs a new method that combines high-resolution GF-5B V
Spacecraft Recovery & Remote Sensing
  • Publication Date: Oct. 30, 2024
  • Vol. 45, Issue 5, 101 (2024)
Research on Automatic Detection of Terrain Occlusion Areas in Satellite Oblique Images
Zongqi LIU, Zhanliang YUAN, Donghong WANG, Xingfeng CHEN, Jun LIU, Lei ZHANG, Bolun CUI, and Limin ZHAO
Spacecraft Recovery & Remote Sensing
  • Publication Date: Oct. 30, 2024
  • Vol. 45, Issue 5, 112 (2024)
Research on Area Correction for Monitoring Cyanobacterial Bloom with Medium and Low Resolution Satellites: Taking GOCI-2 as an Example
Yaping WANG, Xifei XU, Jiaguo LI, Xingfeng CHEN, Ning ZHANG, Huajie CHEN, Limin ZHAO, and Jun LIU
In the face of the problem that the accuracy of cyanobacteria bloom area in lakes estimated with low and medium resolution images is poor due to the low monitoring scale, this paper took GOCI-2 as an example, selected the Taihu Lake as research area, compared the difference in cyanobacteria bloom area extracted from GO
Spacecraft Recovery & Remote Sensing
  • Publication Date: Oct. 30, 2024
  • Vol. 45, Issue 5, 123 (2024)
Application Evaluation of Vegetation Ecological Survey in Plateau Area of ZY-1 02E Satellite
Guanbing HU, Zhijian LIAO, Fang LIU, Wei DANG, and Kun YANG
In order to analyze and evaluate the application ability of multi-spectral and hyper-spectral data of ZY-1 02E satellite in vegetation ecological investigation in plateau area, this paper chooses Huize-Dongchuan in northeast Yunnan as the research area, which is characterized by obvious vertical zoning of vegetation, B
Spacecraft Recovery & Remote Sensing
  • Publication Date: Oct. 30, 2024
  • Vol. 45, Issue 5, 134 (2024)
Real-Time Fire Detection by Cascading Traditional Approaches with Deep Learning
Wenzhuo WANG, Chenglong MA, Guanlin WANG, Yiming ZHANG, Fangxiong TAN, Xu HAN, and Lei WU
Aiming at the problem of insufficient accuracy and timeliness of wildfire monitoring, a near real-time fire monitoring algorithm using a Multichannel Convolutional Neural Network (MCNN) with a cascaded traditional method is proposed. Firstly, by combining the OTSU method and the spatial context method, potential fire p
Spacecraft Recovery & Remote Sensing
  • Publication Date: Oct. 30, 2024
  • Vol. 45, Issue 5, 147 (2024)
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