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   Articles with "aerial images" as a keyword



A survey of small object detection based on deep learning in aerial images

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recommendations! Published in 2025 at "Artificial Intelligence Review"

DOI: 10.1007/s10462-025-11150-9

Abstract: Small object detection poses a formidable challenge in the field of computer vision, particularly when it comes to analyzing aerial remote sensing images. Despite the rapid development of deep learning and significant progress in detection… read more here.

Keywords: detection; deep learning; object detection; small object ... See more keywords

Aerial image change detection using dual regions of interest networks

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recommendations! 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
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Novel up-scale feature aggregation for object detection in aerial images

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recommendations! Published in 2020 at "Neurocomputing"

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

Multiscale feature tuned trans-DeepLabV3+ based semantic segmentation of aerial images using improved red piranha optimization algorithm

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-12940-5

Abstract: The use of higher-resolution spatial aerial images for semantic segmentation in everyday tasks has increased due to recent advancements in remote sensing and several other applications. Nonetheless, supervised learning necessitates a substantial quantity of images… read more here.

Keywords: feature tuned; multiscale feature; aerial images; semantic segmentation ... See more keywords
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Autonomous 3D metric reconstruction from uncalibrated aerial images captured from UAVs

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recommendations! 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

FR-YOLOv7: feature enhanced YOLOv7 for rotated small object detection in aerial images

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recommendations! Published in 2024 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ad688b

Abstract: For the problems of weak object feature expression and variable object orientation in aerial image object detection, this paper proposed a feature enhanced YOLOv7 for rotated small object detection in aerial images. Firstly, for the… read more here.

Keywords: detection; object detection; feature enhanced; rotated small ... See more keywords

Vehicle Detection and Counting in High-Resolution Aerial Images Using Convolutional Regression Neural Network

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recommendations! Published in 2018 at "IEEE Access"

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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recommendations! Published in 2019 at "IEEE Access"

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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recommendations! Published in 2020 at "IEEE Access"

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
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Vehicle Detection in Aerial Images Based on 3D Depth Maps and Deep Neural Networks

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recommendations! Published in 2021 at "IEEE Access"

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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recommendations! Published in 2021 at "IEEE Access"

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