4.Basic algorithms in deep learning 89 2016-12 8 3.The general framework 42 2016-12 7 7.Conclusions and future work 29 2016-12 6 6.Experiments and analysis 39 2016-12 5 5.Deep Learning for Remote Sensing Data-03 20 2016-12 4
Digital Object Identifier 10.1109/MGRS.2016.2540798 Date of publication: xxxxxxxxDeep Learning for Remote Sensing Data A technical tutorial on the state of the artLIANGPEI ZHANG, LEFEI ZHANG, ANd BO dUAdvances in Machine Learning for Remote Sensing and Geosciencesimage licensed by ingram publishing22 0...
5.Deep learning for remote sensing data-01 342016-12 9 1.Introduction 972016-12 10 2.Advantages of remote sensing methods 782016-12 查看更多 猜你喜欢 1043 DEEP WATER-Deep Water by:独立小众乐 148 Shadows Deep-Shadows Deep by:情迷电音 970 5.春秋 by:咪奇熊童书 418 5. Clothing by:北京阳光...
论文地址:Deep learning in multimodal remote sensing data fusion: A comprehensive review 摘要 随着遥感(RS)技术的飞速发展,大量具有相当复杂异质性的地球观测(EO)数据随处可见,这为研究人员提供了以全新方式解决当前地球科学应用的机会。 近年来,随着地球观测数据的联合利用,多模态遥感数据融合研究取得了巨大进展,但...
Deep-learning (DL) algorithms, which learn the representative and discriminative features in a hierarchical manner from the data, have recently become a hotspot in the machine-learning area and have been introduced into the geoscience and remote sensing (RS) community for RS big data analysis. Con...
ISPRS Journal of Photogrammetry and Remote SensingMountrakis, G., Li, J., Lu, X., Hellwich, O., 2018. Deep learning for remotely sensed data. ISPRS J. Photogramm. Remote Sens. 145, 1-2. https://doi.org/10.1016/j.isprsjprs.2018.08.011...
15、Deep learning for urban remote sensing 16、Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community 17、Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art ...
深度学习被证明是一套非常成功的工具,近年来的研究表明,CNNs学习的特征表示在大规模图像识别、目标检测、语义分割等方面都是非常有效的。在这一成功之后,由于数据和计算资源的增加,深度学习的使用最终也在遥感中起飞。 遥感数据为深度学习提出了一些新的挑战,因为卫星图像分析提出了独特的问题,提出了困难的新科学问题:...
REMOTE sensingDEEP learningDROUGHT managementRANDOM forest algorithmsMACHINE learningSOIL moistureDrought, a climate-related disaster impacting a variety of sectors, poses challenges for millions of people in South Asia. Accurate and complete drought information with a proper monitoring system ...
Shall we embrace deep learning as the key to everything? Or should we resist a black-box solution? These are controversial issues within the remote-sensing community. In this article, we analyze the challenges of using deep learning for remote-sensing data analysis, review recent advances, and...