TSPNet: Temporal-Spatial Pyramid Network for Infrared Maritime Object Detection

IF 4.7 2区地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Pub Date : 2024-09-04 DOI:10.1109/JSTARS.2024.3452674

Meng Zhang;Lili Dong;Zhichao Huang;Markus Flierl

引用次数: 0

Abstract

Infrared object detection is one of the critical technologies for maritime search and rescue. However, it is still challenging due to the strong background clutter interference and the lack of small object information. We proposed a temporal-spatial pyramid network for infrared maritime object detection. We proposed a nested temporal pyramid to represent the temporal features through motion differences maps and energy accumulation maps to distinguish the wave clutter and objects. We proposed a dense spatial pyramid to learn the spatial features and the differences between temporal maps and then to clarify and locate objects. For training, we designed a scale-related composite loss function with correlated location description and weighted confidence loss. Finally, based on the ablation and comparison experiments, the proposed method performs better on maritime infrared sequences.

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TSPNet：用于红外海洋物体探测的时空金字塔网络

红外物体探测是海上搜救的关键技术之一。然而，由于背景杂波干扰强、小目标信息缺乏等原因，红外目标检测仍具有挑战性。我们提出了一种用于红外海上物体检测的时空金字塔网络。我们提出了一个嵌套时空金字塔，通过运动差异图和能量累积图来表示时空特征，从而区分波杂波和物体。我们提出了一个密集的空间金字塔来学习空间特征和时间图之间的差异，进而识别和定位物体。在训练中，我们设计了一个与尺度相关的复合损失函数，其中包含相关位置描述和加权置信度损失。最后，基于消融和对比实验，所提出的方法在海事红外序列上有更好的表现。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 地学-成像科学与照相技术

CiteScore

9.30

自引率

10.90%

发文量

563

审稿时长

4.7 months

期刊介绍： The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.