AIMC Topic: Remote Sensing Technology

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Deep learning-enabled realistic virtual histology with ultraviolet photoacoustic remote sensing microscopy.

Nature communications Sep 25, 2023
The goal of oncologic surgeries is complete tumor resection, yet positive margins are frequently found postoperatively using gold standard H&E-stained histology methods. Frozen section analysis is sometimes performed for rapid intraoperative margin e...
Spectrum Analysis Coloring Agents Microscopy Humans Deep Learning Remote Sensing Technology Male
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Large-scale automatic extraction of agricultural greenhouses based on high-resolution remote sensing and deep learning technologies.

Environmental science and pollution research international Sep 21, 2023
Widely used agricultural greenhouses are critical in the development of facility agriculture because of not only their huge capacity in food and vegetable supplies, but also their environmental and climatic effects. Therefore, it is important to obta...
Deep Learning Remote Sensing Technology Vegetables Conservation of Natural Resources China Agriculture
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Spatial differentiation of carbon emissions from energy consumption based on machine learning algorithm: A case study during 2015-2020 in Shaanxi, China.

Journal of environmental sciences (China) Aug 22, 2023
Carbon emissions resulting from energy consumption have become a pressing issue for governments worldwide. Accurate estimation of carbon emissions using satellite remote sensing data has become a crucial research problem. Previous studies relied on s...
Air Pollution Carbon Air Pollutants Bayes Theorem Remote Sensing Technology China Machine Learning Environmental Monitoring Algorithms
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Remote Blood Oxygen Estimation From Videos Using Neural Networks.

IEEE journal of biomedical and health informatics Aug 7, 2023
Peripheral blood oxygen saturation (SpO ) is an essential indicator of respiratory functionality and received increasing attention during the COVID-19 pandemic. Clinical findings show that COVID-19 patients can have significantly low SpO before any ...
Sensitivity and Specificity Deep Learning Neural Networks, Computer COVID-19 Remote Sensing Technology Oxygen Hand Smartphone Bayes Theorem Humans Oximetry Proof of Concept Study Skin Pigmentation Video Recording Datasets as Topic
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A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing.

IEEE transactions on neural networks and learning systems Jul 6, 2023
Numerical models based on physics represent the state of the art in Earth system modeling and comprise our best tools for generating insights and predictions. Despite rapid growth in computational power, the perceived need for higher model resolution...
Remote Sensing Technology Cocaine Machine Learning Deep Learning Neural Networks, Computer
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StateNet: Deep State Learning for Robust Feature Matching of Remote Sensing Images.

IEEE transactions on neural networks and learning systems Jul 6, 2023
Seeking good correspondences between two images is a fundamental and challenging problem in the remote sensing (RS) community, and it is a critical prerequisite in a wide range of feature-based visual tasks. In this article, we propose a flexible and...
Neural Networks, Computer Algorithms Remote Sensing Technology Image Processing, Computer-Assisted
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State-of-the-Art Deep Learning Methods for Objects Detection in Remote Sensing Satellite Images.

Sensors (Basel, Switzerland) Jun 23, 2023
Object detection in remotely sensed satellite images is critical to socio-economic, bio-physical, and environmental monitoring, necessary for the prevention of natural disasters such as flooding and fires, socio-economic service delivery, and genera...
Deep Learning Remote Sensing Technology Algorithms South Africa Satellite Imagery
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Terrain Characterization via Machine vs. Deep Learning Using Remote Sensing.

Sensors (Basel, Switzerland) Jun 11, 2023
Terrain traversability is critical for developing Go/No-Go maps for ground vehicles, which significantly impact a mission's success. To predict the mobility of terrain, one must understand the soil characteristics. In-situ measurements performed in t...
Soil Deep Learning Neural Networks, Computer Remote Sensing Technology Machine Learning Support Vector Machine
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Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape.

Nature communications May 27, 2023
New satellite remote sensing and machine learning techniques offer untapped possibilities to monitor global biodiversity with unprecedented speed and precision. These efficiencies promise to reveal novel ecological insights at spatial scales which ar...
Biodiversity Mammals Deep Learning Remote Sensing Technology Animals Ecosystem
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Measuring the crop water demand and satisfied degree using remote sensing data and machine learning method in monsoon climatic region, India.

Environmental science and pollution research international Apr 29, 2023
Supply of water is one of the most significant determinants of regional crop production and human food security. To promote sustainable management of agricultural water, the crop water requirement assessment (CropWRA) model was introduced as a tool f...
Water India Crops, Agricultural Machine Learning Climate Water Supply Agriculture Remote Sensing Technology
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