Dataset Information

Improved YOLO-V3 with DenseNet for Multi-Scale Remote Sensing Target Detection.

ABSTRACT: Remote sensing targets have different dimensions, and they have the characteristics of dense distribution and a complex background. This makes remote sensing target detection difficult. With the aim at detecting remote sensing targets at different scales, a new You Only Look Once (YOLO)-V3-based model was proposed. YOLO-V3 is a new version of YOLO. Aiming at the defect of poor performance of YOLO-V3 in detecting remote sensing targets, we adopted DenseNet (Densely Connected Network) to enhance feature extraction capability. Moreover, the detection scales were increased to four based on the original YOLO-V3. The experiment on RSOD (Remote Sensing Object Detection) dataset and UCS-AOD (Dataset of Object Detection in Aerial Images) dataset showed that our approach performed better than Faster-RCNN, SSD (Single Shot Multibox Detector), YOLO-V3, and YOLO-V3 tiny in terms of accuracy. Compared with original YOLO-V3, the mAP (mean Average Precision) of our approach increased from 77.10% to 88.73% in the RSOD dataset. In particular, the mAP of detecting targets like aircrafts, which are mainly made up of small targets increased by 12.12%. In addition, the detection speed was not significantly reduced. Generally speaking, our approach achieved higher accuracy and gave considerations to real-time performance simultaneously for remote sensing target detection.

SUBMITTER: Xu D

PROVIDER: S-EPMC7435986 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Publications

Improved YOLO-V3 with DenseNet for Multi-Scale Remote Sensing Target Detection.

Xu Danqing D Wu Yiquan Y

Sensors (Basel, Switzerland) 20200731 15

Remote sensing targets have different dimensions, and they have the characteristics of dense distribution and a complex background. This makes remote sensing target detection difficult. With the aim at detecting remote sensing targets at different scales, a new You Only Look Once (YOLO)-V3-based model was proposed. YOLO-V3 is a new version of YOLO. Aiming at the defect of poor performance of YOLO-V3 in detecting remote sensing targets, we adopted DenseNet (Densely Connected Network) to enhance f ...[more]

PMID: 32751868

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Dataset Information

Improved YOLO-V3 with DenseNet for Multi-Scale Remote Sensing Target Detection.

Publications

Improved YOLO-V3 with DenseNet for Multi-Scale Remote Sensing Target Detection.

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