AIMC Topic: Remote Sensing Technology

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Study of Multiscale Fused Extraction of Cropland Plots in Remote Sensing Images Based on Attention Mechanism.

Computational intelligence and neuroscience Sep 5, 2022
Cropland extraction from remote sensing images is an essential part of precise digital agriculture services. This paper proposed an SSGNet network of multiscale fused extraction of cropland based on the attention mechanism to address issues with comp...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Remote Sensing Technology Crops, Agricultural
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An Efficient Deep Learning Mechanism for the Recognition of Olive Trees in Jouf Region.

Computational intelligence and neuroscience Aug 31, 2022
Olive trees grow all over the world in reasonably moderate and dry climates, making them fortunate and medicinal. Pesticides are required to improve crop quality and productivity. Olive trees have had important cultural and economic significance sinc...
Deep Learning Remote Sensing Technology Olea Satellite Imagery
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Spatial point patterns generation on remote sensing data using convolutional neural networks with further statistical analysis.

Scientific reports Aug 22, 2022
Continuous technological growth and the corresponding environmental implications are triggering the enhancement of advanced environmental monitoring solutions, such as remote sensing. In this paper, we propose a new method for the spatial point patte...
Neural Networks, Computer Environmental Monitoring Remote Sensing Technology
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New deep learning method for efficient extraction of small water from remote sensing images.

PloS one Aug 5, 2022
Extracting water bodies from remote sensing images is important in many fields, such as in water resources information acquisition and analysis. Conventional methods of water body extraction enhance the differences between water bodies and other inte...
Neural Networks, Computer Deep Learning Water Image Processing, Computer-Assisted Remote Sensing Technology
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Close-range remote sensing-based detection and identification of macroplastics on water assisted by artificial intelligence: A review.

Water research Jul 30, 2022
Detection and identification of macroplastic debris in aquatic environments is crucial to understand and counter the growing emergence and current developments in distribution and deposition of macroplastics. In this context, close-range remote sensi...
Artificial Intelligence Water Remote Sensing Technology
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Evaluating the Forest Ecosystem through a Semi-Autonomous Quadruped Robot and a Hexacopter UAV.

Sensors (Basel, Switzerland) Jul 23, 2022
Accurate and timely monitoring is imperative to the resilience of forests for economic growth and climate regulation. In the UK, forest management depends on citizen science to perform tedious and time-consuming data collection tasks. In this study, ...
Ecosystem Robotics Remote Sensing Technology Forests Trees
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Bioinspired Scene Classification by Deep Active Learning With Remote Sensing Applications.

IEEE transactions on cybernetics Jul 4, 2022
Accurately classifying sceneries with different spatial configurations is an indispensable technique in computer vision and intelligent systems, for example, scene parsing, robot motion planning, and autonomous driving. Remarkable performance has bee...
Humans Neural Networks, Computer Remote Sensing Technology Semantics Visual Perception
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HE-DFNETS: A Novel Hybrid Deep Learning Architecture for the Prediction of Potential Fishing Zone Areas in Indian Ocean Using Remote Sensing Images.

Computational intelligence and neuroscience Jun 28, 2022
The Indian subcontinent is known for its larger coastline spanning, over 8100 km and is considered the habitat for many millions of people. The livelihood of their habitat is purely dependent upon the fishing activities. Often, the search for fish re...
Humans Artificial Intelligence Animals Deep Learning Remote Sensing Technology Indian Ocean Hunting
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Optimization of Sample Construction Based on NDVI for Cultivated Land Quality Prediction.

International journal of environmental research and public health Jun 24, 2022
The integrated use of remote sensing technology and machine learning models to evaluate cultivated land quality (CLQ) quickly and efficiently is vital for protecting these lands. The effectiveness of machine-learning methods can be profoundly influen...
Neural Networks, Computer Cities Agriculture Support Vector Machine Remote Sensing Technology
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HARNU-Net: Hierarchical Attention Residual Nested U-Net for Change Detection in Remote Sensing Images.

Sensors (Basel, Switzerland) Jun 19, 2022
Change detection (CD) is a particularly important task in the field of remote sensing image processing. It is of practical importance for people when making decisions about transitional situations on the Earth's surface. The existing CD methods focus...
Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Remote Sensing Technology Attention
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