Vehicle Detection in Aerial Images Based on 3D Depth Maps and Deep Neural Networks
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
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
Efficient Detection in Aerial Images for Resource-Limited Satellites
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3046739
Abstract: Object detection in aerial images is a challenging task because of the complex background and various orientations of the objects. Currently, many detectors have made significant progress in improving mAP scores, but they do not… read more here.
Keywords: efficient detection; aerial images; images resource; detection aerial ... See more keywords
Probability Differential-Based Class Label Noise Purification for Object Detection in Aerial Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3172983
Abstract: Modern object detection for aerial images requires numerous annotated data. However, the data annotation process inevitably introduces noise due to the bird’s eye view perspective of aerial images and the professional requirements of annotations. While… read more here.
Keywords: noise; probability differential; object detection; detection aerial ... See more keywords
Gaussian Focal Loss: Learning Distribution Polarized Angle Prediction for Rotated Object Detection in Aerial Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3175520
Abstract: With the increasing availability of aerial data, object detection in aerial images has aroused more and more attention in remote sensing community. The difficulty lies in accurately predicting the angular information for each target when… read more here.
Keywords: loss; object detection; detection aerial; angle ... See more keywords
R2YOLOX: A Lightweight Refined Anchor-Free Rotated Detector for Object Detection in Aerial Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3215472
Abstract: Existing anchor-based rotated object detection methods have achieved some amazing results, but these methods require some manual preset anchors, which not only introduce additional hyperparameters but also introduce extra computational burdens. Due to the above… read more here.
Keywords: anchor free; free rotated; detection; object detection ... See more keywords
An Anchor-Free Lightweight Deep Convolutional Network for Vehicle Detection in Aerial Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3203715
Abstract: Vehicle object detection in aerial scenes has important applications in both military and civilian fields. Recently, deep learning has shown clear advantages in object detection, and the detection performance has been continuously improved. However, these… read more here.
Keywords: network; anchor free; detection; object detection ... See more keywords
CAFC-Net: A Critical and Align Feature Constructing Network for Oriented Ship Detection in Aerial Images
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/3391391
Abstract: 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… read more here.
Keywords: critical align; feature; detection; aerial images ... See more keywords