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18 December 2023 Spectral intersection over union: a bounding box overlap metric for hyperspectral object detection
Pengyu Wang, Kun Gao, Xiaodian Zhang, Zibo Hu, Xiansong Gu, Yutong Liu
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Proceedings Volume 12962, AOPC 2023: Optical Spectroscopy and Imaging; and Atmospheric and Environmental Optics; 1296206 (2023) https://doi.org/10.1117/12.3005336
Event: Applied Optics and Photonics China 2023 (AOPC2023), 2023, Beijing, China
Abstract
Hyperspectral images provide significant spatial and spectral information which are widely used in object detection. Two-stage detectors are commonly employed in hyperspectral object detection, where effective region proposals play a crucial role in accurate object localization. However, during non-maximum suppression (NMS) process, the Intersection over Union (IoU) metric based solely on spatial geometric information is inadequate for discriminating between similar proposals. This results in a substantial number of expected proposals with dissimilar characteristics are eliminated. In this paper, we analyze the spectral information in hyperspectral images to distinguish the characteristics of different proposals. Furthermore, this paper proposes the Spectral IoU (SIoU) by introducing spectral signature differences as a new metric. This improves the ability to differentiate between different object instances and increases the recall rate of bounding boxes with high localization confidence in region proposal stage. Moreover, SIoU can be simply integrated into the hyperspectral objection detection frameworks without introducing additional computational complexity. Extensive experiments on the Semi-Supervised Hyperspectral Object Detection Challenge dataset demonstrate the effectiveness of our method.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Pengyu Wang, Kun Gao, Xiaodian Zhang, Zibo Hu, Xiansong Gu, and Yutong Liu "Spectral intersection over union: a bounding box overlap metric for hyperspectral object detection", Proc. SPIE 12962, AOPC 2023: Optical Spectroscopy and Imaging; and Atmospheric and Environmental Optics, 1296206 (18 December 2023); https://doi.org/10.1117/12.3005336
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KEYWORDS
Object detection
Education and training
Data modeling
Hyperspectral imaging
Detection and tracking algorithms
Image processing
Performance modeling
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