EESS141/241 Remote Sensing of the Oceans Problem Set 2--Due Oct. 11 in class or to Molly by 9am on the same day. Remember to show work, and e..
acoustic remote sensing applications, lecture notes in earth sciences: sagar pal singal (ed.), springer-verlag, berlin, heidelberg, new york, narosa publishing house, new delhi, vol. 69, 1997, 585 pp.doi:10.1016/S0168-1923(00)00216-1E. Mursch-Radlgruber...
doi:10.1080/01431168408948880T.ScottE.ScottBEAUMONTScottInformaworldInternational Journal of Remote Sensing
remote sensing Review Statistical Machine Learning Methods and Remote Sensing for Sustainable Development Goals: A Review Jacinta Holloway * ID and Kerrie Mengersen School of Mathematical Sciences, Queensland University of Technology, 2 George Street, Brisbane 4001, Australia; k.mengersen@qut.edu.au * ...
remote sensing Article Learning a Dilated Residual Network for SAR Image Despeckling Qiang Zhang 1, Qiangqiang Yuan 1,*, Jie Li 2, Zhen Yang 3 and Xiaoshuang Ma 4 1 School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China; zhang_qiang@whu.edu.cn 2 International School of ...
remote sensing Article Object-Based Change Detection Using Multiple Classifiers and Multi-Scale Uncertainty Analysis Kun Tan 1,2,*,†, Yusha Zhang 2,†, Xue Wang 2 and Yu Chen 2,* 1 Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, ...
remote sensing Article Impact of Attitude Model, Phase Wind-Up and Phase Center Variation on Precise Orbit and Clock Offset Determination of GRACE-FO and CentiSpace-1 Junjun Yuan 1,2,3, Shanshi Zhou 1,3,*, Xiaogong Hu 1,3, Long Yang 4, Jianfeng Cao 5, Kai Li 1,3 and Min Liao 6...
The acquisition of massive remote sensing data makes it possible to deeply fuse remote sensing and artificial intelligence (AI). The mobility and cost advantages of new sensing platforms in the Internet of Things (IoT) make them ideal for continuous depl
Versions Notes Abstract Real-time analysis of UAV low-altitude remote sensing images at airborne terminals facilitates the timely monitoring of weeds in the farmland. Aiming at the real-time identification of rice weeds by UAV low-altitude remote sensing, two improved identification models, MobileNetV2...