[HTML][HTML] Deep learning in multimodal remote sensing data fusion: A comprehensive review
With the extremely rapid advances in remote sensing (RS) technology, a great quantity of
Earth observation (EO) data featuring considerable and complicated heterogeneity are …
Earth observation (EO) data featuring considerable and complicated heterogeneity are …
Integrated sensing and communications: Toward dual-functional wireless networks for 6G and beyond
As the standardization of 5G solidifies, researchers are speculating what 6G will be. The
integration of sensing functionality is emerging as a key feature of the 6G Radio Access …
integration of sensing functionality is emerging as a key feature of the 6G Radio Access …
Sparse synthetic aperture radar imaging from compressed sensing and machine learning: Theories, applications, and trends
Synthetic aperture radar (SAR) image formation can be treated as a class of ill-posed linear
inverse problems, and the resolution is limited by the data bandwidth for traditional imaging …
inverse problems, and the resolution is limited by the data bandwidth for traditional imaging …
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 …
Hyperspectral and SAR image classification via multiscale interactive fusion network
Due to the limitations of single-source data, joint classification using multisource remote
sensing data has received increasing attention. However, existing methods still have certain …
sensing data has received increasing attention. However, existing methods still have certain …
Measuring, modelling and projecting coastal land subsidence
Coastal subsidence contributes to relative sea-level rise and exacerbates flooding hazards,
with the at-risk population expected to triple by 2070. Natural processes of vertical land …
with the at-risk population expected to triple by 2070. Natural processes of vertical land …
A SAR dataset of ship detection for deep learning under complex backgrounds
With the launch of space-borne satellites, more synthetic aperture radar (SAR) images are
available than ever before, thus making dynamic ship monitoring possible. Object detectors …
available than ever before, thus making dynamic ship monitoring possible. Object detectors …
Deep learning meets SAR: Concepts, models, pitfalls, and perspectives
Deep learning in remote sensing has received considerable international hype, but it is
mostly limited to the evaluation of optical data. Although deep learning has been introduced …
mostly limited to the evaluation of optical data. Although deep learning has been introduced …
Deep learning and earth observation to support the sustainable development goals: Current approaches, open challenges, and future opportunities
The synergistic combination of deep learning (DL) models and Earth observation (EO)
promises significant advances to support the Sustainable Development Goals (SDGs). New …
promises significant advances to support the Sustainable Development Goals (SDGs). New …
Motion compensation/autofocus in airborne synthetic aperture radar: A review
Air-and spaceborne synthetic aperture radar (SAR) can provide a large number of high-
resolution images for microwave remote sensing applications, such as geoscience and …
resolution images for microwave remote sensing applications, such as geoscience and …