Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
Identifying and characterizing vascular plants in time and space is required in various
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …
Self-supervised learning in remote sensing: A review
Y Wang, CM Albrecht, NAA Braham… - IEEE Geoscience and …, 2022 - ieeexplore.ieee.org
In deep learning research, self-supervised learning (SSL) has received great attention,
triggering interest within both the computer vision and remote sensing communities. While …
triggering interest within both the computer vision and remote sensing communities. While …
BIM, machine learning and computer vision techniques in underground construction: Current status and future perspectives
The architecture, engineering and construction (AEC) industry is experiencing a
technological revolution driven by booming digitisation and automation. Advances in …
technological revolution driven by booming digitisation and automation. Advances in …
Sparse synthetic aperture radar imaging from compressed sensing and machine learning: Theories, applications, and trends
G Xu, B Zhang, H Yu, J Chen, M ** with meter-resolution satellite imagery
High-resolution satellite images can provide abundant, detailed spatial information for land
cover classification, which is particularly important for studying the complicated built …
cover classification, which is particularly important for studying the complicated built …
SAR data applications in earth observation: An overview
In this review, we present the main approaches developed around satellite and airborne
Synthetic Aperture Radar (SAR) imagery. The great range of SAR imagery applications is …
Synthetic Aperture Radar (SAR) imagery. The great range of SAR imagery applications is …
[HTML][HTML] GLF-CR: SAR-enhanced cloud removal with global–local fusion
The challenge of the cloud removal task can be alleviated with the aid of Synthetic Aperture
Radar (SAR) images that can penetrate cloud cover. However, the large domain gap …
Radar (SAR) images that can penetrate cloud cover. However, the large domain gap …