Adaptive Anchor Networks for Multi-Scale Object Detection in Remote Sensing Images

Adaptive Anchor Networks for Multi-Scale Object Detection in Remote Sensing Images

Accurate and effective object detection in remote sensing images plays an extremely important role in marine transport, environmental monitoring and military operations. Due to the powerful ability of feature representation, region-based convolutional neural networks (RCNNs) have been widely used in...

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Bibliographic Details
Main Authors: Miaohui Zhang, Yunzhong Chen, Xianxing Liu, Bingxue Lv, Jun Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks (CNNs)
object detection
remote sensing images
multi-scale feature fusion
adaptive anchor
Online Access:https://ieeexplore.ieee.org/document/9044838/

Internet

https://ieeexplore.ieee.org/document/9044838/

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