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

Due to the influence of dense distribution of detection objects and complex background, there are many small objects, which are difficult to detect in remote sensing images. In order to solve the difficult problem of small object detection in remote sensing images, we propose an object detection alg...

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Bibliographic Details
Published in:	International journal of remote sensing Vol. 43; no. 9; pp. 3280 - 3297
Main Authors:	Zhang, Li-guo, Wang, Lei, Jin, Mei, Geng, Xing-shuo, Shen, Qian
Format:	Journal Article
Language:	English
Published:	London Taylor & Francis 03.05.2022 Taylor & Francis Ltd
Subjects:	Algorithms Backbone Clustering Convolution Cot module CotYOLO-v3 object detection algorithm data collection Datasets Detection feature fusion Object recognition prediction Redesign Remote sensing Sampling methods Small object detection
ISSN:	0143-1161, 1366-5901, 1366-5901
Online Access:	Get full text
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