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 ...
In this article, we analyze the challenges of using deep learning for remote sensing data analysis, review the recent advances, and provide resources to make deep learning in remote sensing ridiculously simple to start with. More importantly, we advocate remote sensing scientists to bring their ...
初读印象 comment:: 遥感领域图像融合综述,给出了新手教程、数据集和代码,讨论了未来发展方向 机构:中国科学院等 论文地址:Deep learning in multimodal remote sensing data fusion: A comprehensive review …
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:...
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...
Researchers and engineers have increasingly used Deep Learning (DL) for a variety of Remote Sensing (RS) tasks. However, data from local observations or via ground truth is often quite limited for training DL models, especially when these models represent key socio-environmental problems, such as...
In recent years, the application of deep learning (DL) has revolutionized remote sensing (RS) image analysis, allowing for the extraction of high-level features, and addressing complex tasks. However, the success of DL models relies heavily on the availability of labeled data, and acquiring label...
Deep learning in remote sensing applications: A meta-analysis and review Object detectionScene classificationDeep learning (DL) algorithms have seen a massive rise in popularity for remote-sensing image analysis over the past few ... L Ma,Y Liu,X Zhang,... - 《Isprs Journal of Photogrammetry ...
Explainable deep learning approach for advanced persistent threats (APTs) detection in cybersecurity: a reviewAdvanced persistent threats (APTs)... NHA Mutalib,AQM Sabri,AWA Wahab,... - 《Artificial Intelligence Review》 被引量: 0发表: 2024年 Remote Sensing Object Detection in the Deep Learning ...
1、Deep learning in environmental remote sensing: Achievements and challenges 2、ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci 3、Review on remote sensing methods for landslide detectionusing machine and deep learning 4、Deep Learning for Medicine and Remote Sensing: A Brief Review ...