AIMC Topic: Remote Sensing Technology

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Self-supervision assisted multimodal remote sensing image classification with coupled self-looping convolution networks.

Neural networks : the official journal of the International Neural Network Society Apr 20, 2023
Recently, remote sensing community has seen a surge in the use of multimodal data for different tasks such as land cover classification, change detection and many more. However, handling multimodal data requires synergistically using the information ...
Neural Networks, Computer Remote Sensing Technology
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Combining Deep Learning and Hydrological Analysis for Identifying Check Dam Systems from Remote Sensing Images and DEMs in the Yellow River Basin.

International journal of environmental research and public health Mar 6, 2023
Identifying and extracting check dams is of great significance for soil and water conservation, agricultural management, and ecological assessment. In the Yellow River Basin, the check dam, as a system, generally comprises dam locations and dam-contr...
Soil Deep Learning Remote Sensing Technology Rivers Conservation of Water Resources
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A Review of Emerging Electromagnetic-Acoustic Sensing Techniques for Healthcare Monitoring.

IEEE transactions on biomedical circuits and systems Feb 14, 2023
Conventional electromagnetic (EM) sensing techniques such as radar and LiDAR are widely used for remote sensing, vehicle applications, weather monitoring, and clinical monitoring. Acoustic techniques such as sonar and ultrasound sensors are also used...
Artificial Intelligence Delivery of Health Care Remote Sensing Technology Acoustics Electromagnetic Phenomena
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Recognizing and monitoring infectious sources of schistosomiasis by developing deep learning models with high-resolution remote sensing images.

Infectious diseases of poverty Feb 7, 2023
BACKGROUND: China is progressing towards the goal of schistosomiasis elimination, but there are still some problems, such as difficult management of infection source and snail control. This study aimed to develop deep learning models with high-resolu...
Animals Livestock Deep Learning China Cattle Remote Sensing Technology Schistosomiasis Schistosomiasis japonica
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Adaptive Discriminative Regions Learning Network for Remote Sensing Scene Classification.

Sensors (Basel, Switzerland) Jan 10, 2023
As an auxiliary means of remote sensing (RS) intelligent interpretation, remote sensing scene classification (RSSC) attracts considerable attention and its performance has been improved significantly by the popular deep convolutional neural networks ...
Neural Networks, Computer Remote Sensing Technology Intelligence Benchmarking
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Remote Sensing and Nonlinear Auto-regressive Neural Network (NARNET) Based Surface Water Chemical Quality Study: A Spatio-Temporal Hybrid Novel Technique (STHNT).

Bulletin of environmental contamination and toxicology Dec 27, 2022
In recent days, the quality of water in inland water bodies has been threatened by various natural and anthropogenic activities. Henceforth, the continuous monitoring of water quality is mandatory to control the pollution level in surface water bodie...
Neural Networks, Computer Artificial Intelligence Environmental Monitoring Remote Sensing Technology Water Quality
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Deep Learning Model for the Image Fusion and Accurate Classification of Remote Sensing Images.

Computational intelligence and neuroscience Nov 22, 2022
Deep learning is widely used for the classification of images that have various attributes. Image data are used to extract colour, texture, form, and local features. These features are combined in feature-level image fusion to create a merged remote ...
Neural Networks, Computer Deep Learning Principal Component Analysis Remote Sensing Technology Problem Solving
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A Method for Extracting Building Information from Remote Sensing Images Based on Deep Learning.

Computational intelligence and neuroscience Oct 12, 2022
Semantic segmentation of remote sensing images is an important issue in remote sensing tasks. Existing algorithms can extract information more accurately, but it is difficult to capture the contours of objects and further reveal the interaction infor...
Algorithms Deep Learning Image Processing, Computer-Assisted Remote Sensing Technology Information Storage and Retrieval
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CAW: A Remote-Sensing Scene Classification Network Aided by Local Window Attention.

Computational intelligence and neuroscience Oct 11, 2022
Remote-sensing image scene data contain a large number of scene images with different scales. Traditional scene classification algorithms based on convolutional neural networks are difficult to extract complex spatial distribution and texture informa...
Neural Networks, Computer Algorithms Remote Sensing Technology
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Transformer based on channel-spatial attention for accurate classification of scenes in remote sensing image.

Scientific reports Sep 14, 2022
Recently, the scenes in large high-resolution remote sensing (HRRS) datasets have been classified using convolutional neural network (CNN)-based methods. Such methods are well-suited for spatial feature extraction and can classify images with relativ...
Neural Networks, Computer Image Processing, Computer-Assisted Remote Sensing Technology Attention
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