Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources Central to the looming paradigm shift toward data-intensive science, machine-learning techniques are becoming increasingly important. In particular, deep l... XX Zhu,D Tuia,L Mou,... - 《IEEE Geoscience & Remote ...
However, a literature revision that combines both ``deep learning'' and ``UAV remote sensing'' thematics has not yet been conducted. The motivation for our work was to present a comprehensive review of the fundamentals of Deep Learning (DL) applied in UAV-based imagery. We focused mainly ...
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...
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:...
We hope that our review article facilitate DL applications to tackle societally important environmental problems with limited reference data.Previous article in issue Next article in issue Abbreviations RS Remote Sensing AI Artificial Intelligence ML Machine Learning DL Deep Learning CNN Convolutional Neural...
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...
Active learning is a natural choice for a number of remote sensing tasks, including the detection of local surface changes... V Rika,S D'Aronco,JD Wegner,... 被引量: 0发表: 2020年 A Review on Recent Advances in Remote Sensing Image Retrieval Techniques Due to the rapid advancements in ...
Deep Learning – A Review 来自 Semantic Scholar 喜欢 0 阅读量: 70 作者:VM Kota,VM Kumar,C Bharatiraja 摘要: In recent years, tech giants in various parts are showing Curiosity on Artificial Intelligence by investment on the project that can be a game-changer for both corporate and ...
A Review: Remote Sensing Image Object Detection Algorithm Based on Deep Learning Target detection in optical remote sensing images using deep-learning technologies has a wide range of applications in urban building detection, road extra... C Bai,X Bai,K Wu - Electronics (2079-9292) 被引量: 0...
Then, we use the radiation transfer model simulation and reliable satellite-ground data to establish a training and test database, and finally use the deep learning neural network for optimal computation. Three typical high-, medium- and low-spatial-resolution TIR remote sensing datasets (from ...