Image synthesis with adversarial networks: A comprehensive survey and case studies
Abstract Generative Adversarial Networks (GANs) have been extremely successful in
various application domains such as computer vision, medicine, and natural language …
various application domains such as computer vision, medicine, and natural language …
Object detection and image segmentation with deep learning on Earth observation data: A review—Part II: Applications
In Earth observation (EO), large-scale land-surface dynamics are traditionally analyzed by
investigating aggregated classes. The increase in data with a very high spatial resolution …
investigating aggregated classes. The increase in data with a very high spatial resolution …
HED-UNet: Combined segmentation and edge detection for monitoring the Antarctic coastline
Deep learning-based coastline detection algorithms have begun to outshine traditional
statistical methods in recent years. However, they are usually trained only as single-purpose …
statistical methods in recent years. However, they are usually trained only as single-purpose …
The importance of resource awareness in artificial intelligence for healthcare
Artificial intelligence and machine learning (AI/ML) models have been adopted in a wide
range of healthcare applications, from medical image computing and analysis to continuous …
range of healthcare applications, from medical image computing and analysis to continuous …
Coastline detection in satellite imagery: A deep learning approach on new benchmark data
C Seale, T Redfern, P Chatfield, C Luo… - Remote Sensing of …, 2022 - Elsevier
Detailed and up-to-date coastline morphology data underpins our understanding of
coastline change over time. The development of an automated and scalable coastline …
coastline change over time. The development of an automated and scalable coastline …
Road segmentation for remote sensing images using adversarial spatial pyramid networks
Road extraction in remote sensing images is of great importance for a wide range of
applications. Because of the complex background, and high density, most of the existing …
applications. Because of the complex background, and high density, most of the existing …
A landslide extraction method of channel attention mechanism U-Net network based on Sentinel-2A remote sensing images
H Chen, Y He, L Zhang, S Yao, W Yang… - … Journal of Digital …, 2023 - Taylor & Francis
Accurate landslide extraction is significant for landslide disaster prevention and control.
Remote sensing images have been widely used in landslide investigation, and landslide …
Remote sensing images have been widely used in landslide investigation, and landslide …
Use of machine learning and remote sensing techniques for shoreline monitoring: A review of recent literature
CAD Tsiakos, C Chalkias - Applied Sciences, 2023 - mdpi.com
Climate change and its effects (ie, sea level rise, extreme weather events) as well as
anthropogenic activities, determine pressures to the coastal environments and contribute to …
anthropogenic activities, determine pressures to the coastal environments and contribute to …
[HTML][HTML] Automatic coastline extraction through enhanced sea-land segmentation by modifying Standard U-Net
Sea-land segmentation (SLS) is an essential remote sensing task for various coastal and
environmental studies such as coastline extraction, coastal erosion, coastal area monitoring …
environmental studies such as coastline extraction, coastal erosion, coastal area monitoring …
Motion saliency based multi-stream multiplier ResNets for action recognition
In this paper, we propose a Motion Saliency based multi-stream Multiplier ResNets (MSM-
ResNets) for action recognition. The proposed MSM-ResNets model consists of three …
ResNets) for action recognition. The proposed MSM-ResNets model consists of three …