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Shape Classification of Cloud Particles Recorded by the 2D-S Imaging Probe Using a Convolutional Neural Network
The airborne two-dimensional stereo (2D-S) optical array probe has been operating for more than 10 yr, accumulating a large amount of cloud particle...
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The Risk of Marine Erosion in Tunisian Beaches: A Retrospective Reading for a Prospective Vision
Low coasts, especially sandy beaches, are the spaces that have, so far, attracted the most numerous and dense human concentrations and managements in...
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An Exploratory Investigation into Image-Data-Driven Deep Learning for Stability Analysis of Geosystems
This study investigates image-data-driven deep learning in the stability analysis of geosystems. For the purpose, the recent breakthrough in computer...
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A novel depth measurement method for urban flooding based on surveillance video images and a floating ruler
In view of the low accuracy and high cost of existing urban flooding monitoring methods, this study proposed a method for measuring the depth of...
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Fish Movement Analysis in Diagonal Brush Fish Pass: Innovative Approaches
The fish behavior and flow structure of the diagonal brush fish pass were monitored and investigated simultaneously at the Incirli Small Hydropower...
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A shape parameter for soil particles using a computational method
Increasing functionality in image analysis programs and their wider application areas makes it possible to develop new shape factor algorithms for...
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Identifying region specific seasonal crop for leaf borne diseases by utilizing deep learning techniques
India economy depends on agriculture with severe climatic changes and a heavy infestation of diseases depleting food crop yield substantially. Rapid...
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A new algorithm for 3D similarity transformation with dual quaternion
3D coordinate transformation is frequently encountered in geodesy applications. In addition, it is frequently encountered in computer vision,...
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An improved dung beetle optimization with recurrent convolutional neural networks for efficient detection and classification of undersea water object images
The exploration of the underwater environment has become increasingly important due to the utilization and development of deep-sea resources in...
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Landslide detection based on shipborne images and deep learning models: a case study in the Three Gorges Reservoir Area in China
Landslides are one of the main geological disasters in the riparian zone of the Three Gorges Reservoir Area (TGRA) in China, causing massive losses...
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Toward a Smart and Sustainable Campus: Future Vision, Opportunities, and Challenges
The Internet of Things (IoT) is a buzzing technology nowadays. It is believed to have the potential for revolutionizing today’s world. Several...
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Multiple-Point Statistics Simulation Models: Pretty Pictures or Decision-Making Tools?
Abundant literature has been produced for the last two decades about multiple-point statistics simulation, or MPS. The idea behind MPS is very...
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Remote Sensing Images Background Noise Processing Method for Ship Objects in Instance Segmentation
Detection and segmentation of ship targets in remote sensing images is a research hotspot in the field of computer vision. However, due to the large...
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A unified cycle-slip, multipath estimation, detection and mitigation method for VIO-aided PPP in urban environments
Accurate, continuous and reliable positioning is required in autonomous driving. The precise point positioning (PPP) technique, which can provide a...
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Research on 3D urban landscape design and evaluation based on geographic information system
Virtual city is the frontier field of 3D city geographic information system research. For this reason, first, how to build a city 3D landscape is...
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Seismic events extraction method based on the B-COSFIRE filter combined with the differential evolution algorithm
Based on an analysis of the information processing mechanism in the primary visual cortex of biological vision, this study proposes an integration...
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Assessment of water stress in rainfed maize using RGB and thermal imagery
Non-invasive techniques such as RGB, thermal imaging, and optical sensing can provide information on plant water stress before it occurs. In the...
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RETRACTED ARTICLE: Coastal land use planning and beach sports image recognition based on high-resolution remote sensing images
Through the development of artificial intelligence and machine vision technology, the analysis of human motion and the integration of remote sensing...
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Deep learning model fusion-based infrasound recognition of debris flows
Infrasound generated during the formation and movement of debris flows exhibits long propagation distance and slow energy attenuation, rendering it...
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Automatic drill pipe emission control system based on machine vision
Drilling is not as modern as other industries and still has great potential for automatic control. Automatic drill pipe emission control system is...
