Aerial image change detection using dual regions of interest networks
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.04.029
Abstract: Abstract This paper presents a novel change detection network for identifying scene changes about pairs of aerial images. The aerial images are obtained with Unmanned Aerial Vehicles (UAVs), used to analyze “where and how” changes… read more here.
Keywords: dual regions; change detection; aerial images; detection ... See more keywords
Novel up-scale feature aggregation for object detection in aerial images
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DOI: 10.1016/j.neucom.2020.06.011
Abstract: Abstract Object detection is a pivotal task for many unmanned aerial vehicle (UAV) applications. Compared to general scenes, the objects in aerial images are typically much smaller. For this reason, most general object detectors suffer… read more here.
Keywords: object detection; detection; feature; aerial images ... See more keywords
Autonomous 3D metric reconstruction from uncalibrated aerial images captured from UAVs
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2017.1285087
Abstract: ABSTRACT In this article, we propose a methodology to co-register multi-temporal images captured from different sources in order to make it possible to generate precise, fully-automatic spatial information. The goal is to identify objects in… read more here.
Keywords: uncalibrated aerial; aerial images; reconstruction uncalibrated; images captured ... See more keywords
Vehicle Detection and Counting in High-Resolution Aerial Images Using Convolutional Regression Neural Network
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DOI: 10.1109/access.2017.2782260
Abstract: Vehicle detection and counting in aerial images have become an interesting research focus since the last decade. It is important for a wide range of applications, such as urban planning and traffic management. However, this… read more here.
Keywords: neural network; vehicle; detection counting; aerial images ... See more keywords
Power Line Extraction From Aerial Images Using Object-Based Markov Random Field With Anisotropic Weighted Penalty
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DOI: 10.1109/access.2019.2939025
Abstract: The extraction of power line plays a key role in power line inspection by Unmanned Aerial Vehicles (UAVs). While it is challenging to extract power lines in aerial images because of the weak targets and… read more here.
Keywords: power line; power; line segments; line ... See more keywords
ARC-Net: An Efficient Network for Building Extraction From High-Resolution Aerial Images
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DOI: 10.1109/access.2020.3015701
Abstract: Automatic building extraction based on high-resolution aerial images has important applications in urban planning and environmental management. In recent years advances and performance improvements have been achieved in building extraction through the use of deep… read more here.
Keywords: arc net; resolution aerial; high resolution; building extraction ... See more keywords
Vehicle Detection in Aerial Images Based on 3D Depth Maps and Deep Neural Networks
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DOI: 10.1109/access.2021.3049741
Abstract: Object detection in aerial images, particularly of vehicles, is highly important in remote sensing applications including traffic management, urban planning, parking space utilization, surveillance, and search and rescue. In this article, we investigate the ability… read more here.
Keywords: deep neural; vehicle detection; aerial images; detection aerial ... See more keywords
An Approach for Shadow Detection in Aerial Images Based on Multi-Channel Statistics
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DOI: 10.1109/access.2021.3061102
Abstract: Shadows are likely to cause flaws in color interpretation, loss of image information or deformation of objects; this is a relevant issue owing to the fact that with the development of unmanned aerial vehicles and… read more here.
Keywords: approach shadow; shadow detection; aerial images; detection aerial ... See more keywords
Small Target Detection Model in Aerial Images Based on TCA-YOLOv5m
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DOI: 10.1109/access.2022.3232293
Abstract: Target detection in aerial images taken by unmanned aerial vehicles is the most widely used scene at present. Compared with ordinary images, the background of aerial images is more complex, and the target size is… read more here.
Keywords: tca yolov5m; target detection; detection; model ... See more keywords
Toward Fast and Accurate Vehicle Detection in Aerial Images Using Coupled Region-Based Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2017.2694890
Abstract: Vehicle detection in aerial images, being an interesting but challenging problem, plays an important role for a wide range of applications. Traditional methods are based on sliding-window search and handcrafted or shallow-learning-based features with heavy… read more here.
Keywords: accurate vehicle; detection; vehicle; aerial images ... See more keywords
E-D-Net: Automatic Building Extraction From High-Resolution Aerial Images With Boundary Information
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2021.3073994
Abstract: The automatic extraction of buildings from high-resolution aerial imagery plays a significant role in many urban applications. Recently, the convolution neural network (CNN) has gained much attention in remote sensing field and achieved a remarkable… read more here.
Keywords: high resolution; building; aerial images; extraction ... See more keywords