AIMC Topic: Remote Sensing Technology

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Towards Synoptic Water Monitoring Systems: A Review of AI Methods for Automating Water Body Detection and Water Quality Monitoring Using Remote Sensing.

Sensors (Basel, Switzerland)
Water features (e.g., water quantity and water quality) are one of the most important environmental factors essential to improving climate-change resilience. Remote sensing (RS) technologies empowered by artificial intelligence (AI) have become one o...

A Local-Global Dual-Stream Network for Building Extraction From Very-High-Resolution Remote Sensing Images.

IEEE transactions on neural networks and learning systems
Buildings constitute one of the most important landscapes in remote sensing (RS) images and have been broadly analyzed in a wide range of applications from urban planning to other socioeconomic studies. As very-high-resolution (VHR) RS imagery become...

CAFC-Net: A Critical and Align Feature Constructing Network for Oriented Ship Detection in Aerial Images.

Computational intelligence and neuroscience
Ship detection is one of the fundamental tasks in computer vision. In recent years, the methods based on convolutional neural networks have made great progress. However, improvement of ship detection in aerial images is limited by large-scale variati...

Exhaustive Search of Correspondences between Multimodal Remote Sensing Images Using Convolutional Neural Network.

Sensors (Basel, Switzerland)
Finding putative correspondences between a pair of images is an important prerequisite for image registration. In complex cases such as multimodal registration, a true match could be less plausible than a false match within a search zone. Under these...

Remote Sensing Image Recognition Based on LOG-T-SSA-LSSVM and AE-ELM Network.

Computational intelligence and neuroscience
Aiming at the influence of different working conditions on recognition accuracy in remote sensing image recognition, this paper adopts hierarchical strategy to construct a network. Firstly, in order to establish the classification relationship betwee...

MAFF-Net: Multi-Attention Guided Feature Fusion Network for Change Detection in Remote Sensing Images.

Sensors (Basel, Switzerland)
One of the most important tasks in remote sensing image analysis is remote sensing image Change Detection (CD), and CD is the key to helping people obtain more accurate information about changes on the Earth's surface. A Multi-Attention Guided Featur...

A Change Detection Method for Remote Sensing Images Based on Coupled Dictionary and Deep Learning.

Computational intelligence and neuroscience
With the rapid development of remote sensing technology, change detection (CD) methods based on remote sensing images have been widely used in land resource planning, disaster monitoring, and urban expansion, among other fields. The purpose of CD is ...

Forest fire detection system using wireless sensor networks and machine learning.

Scientific reports
Forest fires have become a major threat around the world, causing many negative impacts on human habitats and forest ecosystems. Climatic changes and the greenhouse effect are some of the consequences of such destruction. Interestingly, a higher perc...

MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data.

PloS one
Currently, a significant amount of research is focused on detecting Marine Debris and assessing its spectral behaviour via remote sensing, ultimately aiming at new operational monitoring solutions. Here, we introduce a Marine Debris Archive (MARIDA),...

Advancing pharmacy and healthcare with virtual digital technologies.

Advanced drug delivery reviews
Digitalisation of the healthcare sector promises to revolutionise patient healthcare globally. From the different technologies, virtual tools including artificial intelligence, blockchain, virtual, and augmented reality, to name but a few, are provid...