利用岸基斜向摄影进行河冰探测和分类

IF 3.8 2区 工程技术 Q1 ENGINEERING, CIVIL
S. Ansari , C.D. Rennie , S.P. Clark , O. Seidou
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引用次数: 0

摘要

河冰过程对河流系统的各个方面都有重大影响,如水力学、泥沙输运、水质和形态。因此,了解这些过程对于寒冷地区的河流研究、船舶航行和冰雪灾害预报至关重要。近年来,由于价格低廉的摄影测量设备日益普及以及计算机视觉技术的进步,遥感和近距离摄影测量技术备受关注。尽管取得了进展,但获取快速、准确和长期的数据仍然具有挑战性。本研究介绍了 IceMaskNet 的一种新应用,这是一种河冰检测、分割和量化算法,专门设计用于岸基斜射图像。IceMaskNet 基于增强版的实例分割算法 Mask R-CNN,使用 1795 幅人工标注的多芬河图像进行了训练。该算法在检测和分割各种河冰类别方面表现出很高的准确性,检测准确率达到 90%,分割遮蔽准确率达到 86%。所开发的算法应用于多芬河沿岸四年的斜向岸基图像集。在一项案例研究中,该算法通过长期的岸基监测,有效地生成了多芬河段不同冰级的定量估计值,极大地促进了我们对河流结冰过程的了解。该研究显示了多芬河河流结冰过程的复杂性,并强调了气温、河流流量、流速和河流水动力特性等因素的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
River Ice Detection and Classification using Oblique Shore-based Photography
River ice processes significantly impact various aspects of river systems, such as hydraulics, sediment transport, water quality, and morphology. Therefore, understanding these processes is essential for cold-region river studies, ship navigation, and forecasting ice-induced hazards. Remote sensing and close-range photogrammetry have gained attention in recent years, thanks to the growing accessibility of affordable photogrammetry devices and advances in computer vision. Despite progress, acquiring fast, accurate, and long-term data remains challenging. This study presents a novel application of IceMaskNet, a river ice detection, segmentation, and quantification algorithm, specifically designed for oblique shore-based imagery. Built on an enhanced version of the instance segmentation algorithm, Mask R-CNN, IceMaskNet for oblique shore-based imagery was trained using 1795 manually annotated images of the Dauphin River. The algorithm demonstrates high accuracy in detecting and segmenting various river ice categories, achieving 90 % detection accuracy and 86 % segmentation masking accuracy. The developed algorithm was applied over a set of four years of oblique shore-based imagery along the Dauphin River. The algorithm was used in a case study to efficiently generate quantitative estimate of different ice classes in a section of the Dauphin river from long-term shore-based monitoring, significantly contributing to our understanding of river ice processes. The study shows the complex nature of river ice processes in the Dauphin River, and highlights the influence of factors such as air temperature, river flow, flow velocity, and river hydrodynamic characteristics.
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来源期刊
Cold Regions Science and Technology
Cold Regions Science and Technology 工程技术-地球科学综合
CiteScore
7.40
自引率
12.20%
发文量
209
审稿时长
4.9 months
期刊介绍: Cold Regions Science and Technology is an international journal dealing with the science and technical problems of cold environments in both the polar regions and more temperate locations. It includes fundamental aspects of cryospheric sciences which have applications for cold regions problems as well as engineering topics which relate to the cryosphere. Emphasis is given to applied science with broad coverage of the physical and mechanical aspects of ice (including glaciers and sea ice), snow and snow avalanches, ice-water systems, ice-bonded soils and permafrost. Relevant aspects of Earth science, materials science, offshore and river ice engineering are also of primary interest. These include icing of ships and structures as well as trafficability in cold environments. Technological advances for cold regions in research, development, and engineering practice are relevant to the journal. Theoretical papers must include a detailed discussion of the potential application of the theory to address cold regions problems. The journal serves a wide range of specialists, providing a medium for interdisciplinary communication and a convenient source of reference.
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