Small object detection in remote sensing images based on attention mechanism and multi-scale feature fusion-Reference-Cited by-同舟云学术

Small object detection in remote sensing images based on attention mechanism and multi-scale feature fusion

Published:2022-05-03 Issue:9 Volume:43 Page:3280-3297
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Zhang Li-guo¹²,Wang Lei¹²,Jin Mei¹²,Geng Xing-shuo¹²,Shen Qian¹²

Affiliation:

1. Hebei Key Laboratory of Measurement Technology and Instrument, Yanshan University, Qinhuangdao, Hebei, China

2. School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei, China

Funder

Research and Development

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2022.2089539

Reference29 articles.

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3. Dai, J., Y. Li, K. He, J. Sun, and Y. Jiang. 2016. “R-FCN: Object Detection via Region-Based Fully Convolutional Networks.” Curran Associates Inc.

4. Dosovitskiy, A., L. Beyer, A. Kolesnikov, D. Weissenborn, X. Zhai, T. Unterthiner, M. Dehghani, et al. 2020. “An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.”

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