Page 18 - 《武汉大学学报(信息科学版)》2025年第9期
P. 18
1746 武 汉 大 学 学 报 (信 息 科 学 版) 2025 年 9 月
gation Signal Authentication in GNSS: A Survey on GIS Based DSS Model for Business Site Selection
Technology Evolution, Status, and Perspective for [J]. Journal of Information Technology and Electri⁃
BDS[J]. Remote Sensing, 2023, 15(5): 1462. cal Engineering, 2019, 8(4): 1-6.
[18] 何秀凤, 高壮, 肖儒雅, 等 . InSAR 与北斗/GNSS [27] HE Y F, SHENG Y H, JING Y Q, et al. Uncorre⁃
综合方法监测地表形变研究现状与展望[J]. 测绘 lated Geo-Text Inhibition Method Based on Voronoi
学报, 2022, 51(7): 1338-1355. K-Order and Spatial Correlations in Web Maps[J].
HE Xiufeng, GAO Zhuang, XIAO Ruya, et al. Ap⁃ ISPRS International Journal of Geo ⁃ Information,
plication and Prospect of the Integration of InSAR 2020, 9(6): 381.
and BDS/GNSS for Land Surface Deformation [28] ZHANG J X, XIAO W, COIFMAN B, et al. Ve⁃
Monitoring[J]. Acta Geodaetica et Cartographica hicle Tracking and Speed Estimation from Roadside
Sinica, 2022, 51(7): 1338-1355. LiDAR[J]. IEEE Journal of Selected Topics in Ap⁃
[19] 周珂, 杨永清, 张俨娜, 等 . 光学遥感影像土地利 plied Earth Observations and Remote Sensing,
用 分 类 方 法 综 述[J]. 科 学 技 术 与 工 程 , 2021, 21 2020, 13: 5597-5608.
(32): 13603-13613. [29] LU W X, ZHOU Y, WAN G W, et al. L3-Net:
ZHOU Ke, YANG Yongqing, ZHANG Yanna, et Towards Learning Based LiDAR Localization for
al. Review of Land Use Classification Methods Autonomous Driving[C]//IEEE/CVF Conference
Based on Optical Remote Sensing Images[J]. Science on Computer Vision and Pattern Recognition
Technology and Engineering, 2021, 21 (32) : (CVPR), Long Beach, USA, 2020.
13603-13613. [30] 于丰华, 许童羽, 郭忠辉, 等 . 水稻智慧无人农场
[20] MACARRINGUE L S, BOLFE É L, PEREIRA 关键技术研究现状与展望[J]. 智慧农业(中英文),
P R M. Developments in Land Use and Land Cover 2024, 6(6): 1-22.
Classification Techniques in Remote Sensing: A Re⁃ YU Fenghua, XU Tongyu, GUO Zhonghui, et al.
view[J]. Journal of Geographic Information Sys⁃ Research Status and Prospects of Key Technologies
tem, 2022, 14(1): 1-28. for Rice Smart Unmanned Farms[J]. Smart Agri⁃
[21] 刘星南, 吴志峰, 骆仁波, 等 . 基于多源数据和深 culture, 2024, 6(6): 1-22.
度学习的城市边缘区判定[J]. 地理研究, 2020, 39 [31] 罗锡文, 胡炼, 何杰, 等 . 中国大田无人农场关键
(2): 243-256. 技术研究与建设实践[J]. 农业工程学报, 2024, 40
LIU Xingnan, WU Zhifeng, LUO Renbo, et al. (1): 1-16.
The Definition of Urban Fringe Based on Multi- LUO Xiwen, HU Lian, HE Jie, et al. Key Tech⁃
source Data and Deep Learning[J]. Geographical nologies and Practice of Unmanned Farm in China
Research, 2020, 39(2): 243-256. [J]. Transactions of the Chinese Society of Agricul⁃
[22] CHEN G, SUI X, KAMRUZZAMAN M. Agricul⁃ tural Engineering, 2024, 40(1): 1-16.
tural Remote Sensing Image Cultivated Land Extrac⁃ [32] 王文晟, 谭宁, 黄凯, 等 . 基于大模型的具身智能
tion Technology Based on Deep Learning[J]. Tech⁃ 系统综述[J]. 自动化学报, 2025, 51(1): 1-19.
nology, 2019, 9(10): 1-19. WANG Wensheng, TAN Ning, HUANG Kai, et
[23] YANG K, LIU Z, LU Q, et al. Multi-scale al. Embodied Intelligence Systems Based on Large
Weighted Branch Network for Remote Sensing Im⁃ Models: A Survey[J]. Acta Automatica Sinica,
age Classification[C]//IEEE/CVF Conference on 2025, 51(1): 1-19.
Computer Vision and Pattern Recognition Work⁃ [33] 沈甜雨, 陶子锐, 王亚东, 等 . 具身智能研究的关
shops, Miami, USA, 2019. 键问题: 自主感知、行动与进化[J]. 自动化学报,
[24] MOU L C, SCHMITT M, WANG Y Y, et al. A 2025, 51(1): 43-71.
CNN for the Identification of Corresponding Patches SHEN Tianyu, TAO Zirui, WANG Yadong, et al.
in SAR and Optical Imagery of Urban Scenes[C]// Key Problems of Embodied Intelligence Research:
Joint Urban Remote Sensing Event (JURSE) , Autonomous Perception, Action, and Evolution
Dubai, The United Arab Emirates, 2017. [J]. Acta Automatica Sinica, 2025, 51(1): 43-71.
[25] JUDAH A, HU B X. An Advanced Data Fusion [34] LIU H P, LIU X Z, HUANG K Y, et al. Embodied
Method to Improve Wetland Classification Using Intelligence[M]//Embodied Multi-agent Systems.
Multi-source Remotely Sensed Data[J]. Sensors, Singapore: Springer Nature Singapore, 2025: 3-48.
2022, 22(22): 8942. [35] 沈甜雨, 李志伟, 范丽丽, 等 . 具身智能驾驶: 概
[26] SINGH A, SINGH R, BHATTACHARYA P. 念、方法、现状与展望[J]. 智能科学与技术学报 ,

