Precise object detection using adversarially augmented local/global feature fusion

Precise object detection using adversarially augmented local/global feature fusion

Object detection, which aims at recognizing or locating the objects of interest in remote sensing imagery with high spatial resolutions (HSR), plays a significant role in many real-world scenarios, e.g., environment monitoring, urban planning, civil infrastructure construction, disaster rescuing, an...

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Bibliographic Details
Main Authors: Han, Xiaobing, He, Tiantian, Ong, Yew-Soon, Zhong, Yanfei
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2020
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
High Spatial Resolution (HSR) Remote Sensing Imagery
Geospatial Object Detection
Online Access:https://hdl.handle.net/10356/144375

Internet

https://hdl.handle.net/10356/144375

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