Geospatial Object Detection on High Resolution Remote Sensing Imagery Based on Double Multi-Scale Feature Pyramid Network

Geospatial Object Detection on High Resolution Remote Sensing Imagery Based on Double Multi-Scale Feature Pyramid Network

Object detection on very-high-resolution (VHR) remote sensing imagery has attracted a lot of attention in the field of image automatic interpretation. Region-based convolutional neural networks (CNNs) have been vastly promoted in this domain, which first generate candidate regions and then accuratel...

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Bibliographic Details
Main Authors: Xiaodong Zhang, Kun Zhu, Guanzhou Chen, Xiaoliang Tan, Lifei Zhang, Fan Dai, Puyun Liao, Yuanfu Gong
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Remote Sensing
Subjects:
very-high-resolution (VHR) remote sensing imagery
object detection
multi-scale pyramidal features
multi-scale strategies
Online Access:https://www.mdpi.com/2072-4292/11/7/755

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https://www.mdpi.com/2072-4292/11/7/755

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