AIMC Topic: Remote Sensing Technology

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Detection of spatial avoidance between sousliks and moles by combining field observations, remote sensing and deep learning techniques.

Scientific reports May 18, 2022
Nowadays, remote sensing is being increasingly applied in ecology and conservation, and even underground animals can successfully be studied if they leave clear signs of their presence in the environment. In this work, by combining a field study, ana...
Animals Ecosystem Deep Learning Remote Sensing Technology Sciuridae Moles
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Extracting Wetland Type Information with a Deep Convolutional Neural Network.

Computational intelligence and neuroscience May 18, 2022
Wetlands have important ecological value. The application of wetland remote sensing is essential for the timely and accurate analysis of the current situation in wetlands and dynamic changes in wetland resources, but high-resolution remote sensing im...
Neural Networks, Computer Remote Sensing Technology Wetlands
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Land Resource Use Classification Using Deep Learning in Ecological Remote Sensing Images.

Computational intelligence and neuroscience Apr 21, 2022
Aiming at the problems that the traditional remote sensing image classification methods cannot effectively integrate a variety of deep learning features and poor classification performance, a land resource use classification method based on a convolu...
Neural Networks, Computer Deep Learning Support Vector Machine Principal Component Analysis Remote Sensing Technology
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Detection of plane in remote sensing images using super-resolution.

PloS one Apr 21, 2022
The object detection of remote sensing image often has low accuracy and high missed or false detection rate due to the large number of small objects, instance level noise and cloud occlusion. In this paper, a new object detection model based on SRGAN...
Neural Networks, Computer Remote Sensing Technology
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Root-zone soil moisture estimation based on remote sensing data and deep learning.

Environmental research Apr 14, 2022
Soil moisture in the root zone is the most important factor in eco-hydrological processes. Even though soil moisture can be obtained by remote sensing, limited to the top few centimeters (<5 cm). Researchers have attempted to estimate root-zone soil ...
Artificial Intelligence Soil Deep Learning Water Remote Sensing Technology
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AGs-Unet: Building Extraction Model for High Resolution Remote Sensing Images Based on Attention Gates U Network.

Sensors (Basel, Switzerland) Apr 11, 2022
Building contour extraction from high-resolution remote sensing images is a basic task for the reasonable planning of regional construction. Recently, building segmentation methods based on the U-Net network have become popular as they largely improv...
Neural Networks, Computer Image Processing, Computer-Assisted Remote Sensing Technology
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Fuzzy Cognitive Maps with Bird Swarm Intelligence Optimization-Based Remote Sensing Image Classification.

Computational intelligence and neuroscience Mar 27, 2022
Remote sensing image (RSI) scene classification has become a hot research topic due to its applicability in different domains such as object recognition, land use classification, image retrieval, and surveillance. During RSI classification process, a...
Neural Networks, Computer Algorithms Cognition Remote Sensing Technology Intelligence
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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) Mar 21, 2022
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...
Artificial Intelligence Computers Monitoring, Physiologic Remote Sensing Technology Water Quality
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A Local-Global Dual-Stream Network for Building Extraction From Very-High-Resolution Remote Sensing Images.

IEEE transactions on neural networks and learning systems Feb 28, 2022
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...
Neural Networks, Computer Remote Sensing Technology
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CAFC-Net: A Critical and Align Feature Constructing Network for Oriented Ship Detection in Aerial Images.

Computational intelligence and neuroscience Feb 24, 2022
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...
Neural Networks, Computer Remote Sensing Technology Ships
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