Paper
10 February 2023 A scene information integrating network for object detection in remote sensing images
Yifan Dong, Kunlong Zheng, Wei Xu, Yun Su, Pingping Huang
Author Affiliations +
Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 125522Q (2023) https://doi.org/10.1117/12.2667686
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China
Abstract
Object detection in remote sensing images is a challenging task in field of computer vision since detection performance is negatively influenced by complicated background and various object size. However, most studies have only focused on object appearance, with only a few taking into account scene information, which is closely related to existence and category of objects. In this paper, we put forward a new method by integrating scene information into detection with aim of generating more powerful feature. Specifically, we made use of GRU cell, a special kind of RNN, in order to enhance object feature. The proposed method was verified through experiments on a challenging dataset, i.e., DOTA. Compared to the baseline model RoI-Transformer, the proposed method has achieved around 2.7% improvement in terms of mAP, which is initial attempt to integrate scene information into object detection.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yifan Dong, Kunlong Zheng, Wei Xu, Yun Su, and Pingping Huang "A scene information integrating network for object detection in remote sensing images", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 125522Q (10 February 2023); https://doi.org/10.1117/12.2667686
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KEYWORDS
Object detection

Remote sensing

Visualization

Education and training

Feature extraction

Bridges

Detection and tracking algorithms

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