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   Articles with "sensing object" as a keyword



Partial feature reparameterization and shallow-level interaction for remote sensing object detection

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-14035-7

Abstract: Remote sensing object detection has recently emerged as one of the challenging topics in the field of deep learning applications due to the demand for both high detection performance and computational efficiency. To address these… read more here.

Keywords: detection; object detection; sensing object; remote sensing ... See more keywords

YOLORemote: Advancing Remote Sensing Object Detection by Integrating YOLOv8 With the CE-WA-CS Feature Fusion Approach

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recommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3543951

Abstract: The rapid development iteration of YOLO models has spurred extensive research into specialized adaptations tailored for remote sensing object detection (RSOD). Typically, these adaptations involve modifying specific YOLO versions to excel in dataset-specific benchmarks. Such… read more here.

Keywords: object detection; sensing object; feature fusion; remote sensing ... See more keywords

Remote Sensing Object Detection Based on Strong Feature Extraction and Prescreening Network

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recommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2023.3236777

Abstract: Remote sensing object detection has been an important and challenging research hot spot in computer vision that is widely used in military and civilian fields. Recently, the combined detection model of convolutional neural network (CNN)… read more here.

Keywords: remote sensing; sensing object; detection; object detection ... See more keywords

Transformer Based Remote Sensing Object Detection With Enhanced Multispectral Feature Extraction

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recommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2023.3276052

Abstract: As a convention, satellites and drones are equipped with sensors of both the visible light spectrum and the infrared (IR) spectrum. However, existing remote sensing object detection methods mostly use RGB images captured by the… read more here.

Keywords: object detection; sensing object; multispectral feature; remote sensing ... See more keywords

Diversity Consistency Learning for Remote-Sensing Object Recognition With Limited Labels

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recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3210980

Abstract: Annotating remote-sensing object recognition needs high professionalism, and thus limited labeled samples are available. Suffering from this, general remote-sensing object recognition methods are facing low recognition accuracy. Addressing this issue, this article proposes a diversity… read more here.

Keywords: recognition; remote sensing; sensing object; object recognition ... See more keywords

A Lightweight Multiscale Feature Fusion Network for Remote Sensing Object Counting

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recommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3238185

Abstract: In recent decades, remote sensing object counting has attracted increasing attention from academia and industry due to its potential benefits in urban traffic, public safety, and road planning. However, this issue is becoming a challenge… read more here.

Keywords: network; fusion; remote sensing; sensing object ... See more keywords

SPGC: Shape-Prior-Based Generated Content Data Augmentation for Remote Sensing Object Detection

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recommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3373442

Abstract: While deep learning-based methods have made significant strides in remote sensing applications, the scarcity and inadequate quality of remote sensing images tend to curtail the improvement of follow-up research such as remote sensing object detection.… read more here.

Keywords: stylization; object detection; sensing object; shape data ... See more keywords

Vectorization Method for Remote Sensing Object Segmentation Based on Frame Field Learning: A Case Study of Greenhouses

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recommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3403425

Abstract: Deep learning technologies have significantly advanced object information extraction from remote sensing data in recent years, achieving broad application across various industrial sectors. However, information loss exists between remote sensing object raster segmentation and geographic… read more here.

Keywords: vectorization; segmentation; sensing object; remote sensing ... See more keywords

YOLO-Faster: An efficient remote sensing object detection method based on AMFFN

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recommendations! Published in 2024 at "Science Progress"

DOI: 10.1177/00368504241280765

Abstract: As a pivotal task within computer vision, object detection finds application across a diverse spectrum of industrial scenarios. The advent of deep learning technologies has significantly elevated the accuracy of object detectors designed for general-purpose… read more here.

Keywords: detection; object detection; sensing object; remote sensing ... See more keywords

Feature-Differentiated Perception with Dynamic Mixed Convolution and Spatial Orthogonal Attention for Faster Aerial Object Detection

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recommendations! Published in 2025 at "Algorithms"

DOI: 10.3390/a18110684

Abstract: In the field of remote sensing (RS) object detection, efficient and accurate target recognition is crucial for applications such as national defense and maritime monitoring. However, existing detection methods either have high computational complexity, making… read more here.

Keywords: detection; object detection; feature differentiated; sensing object ... See more keywords

Enhanced Remote Sensing Object Detection via AFDNet: Integrating Dual-Sensing Attention and Dynamic Bounding Box Optimization

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recommendations! Published in 2025 at "Algorithms"

DOI: 10.3390/a18120751

Abstract: Existing remote sensing object detection methods struggle with challenges such as complex background interference, variable object scales, and class imbalance due to a lack of coordinated internal optimization. This paper proposes AFDNet, a novel RSOD… read more here.

Keywords: detection; object detection; sensing object; remote sensing ... See more keywords