Inshore marine litter detection using radiometric and geometric data of terrestrial laser scanners
Inshore marine litter detection using radiometric and geometric data of terrestrial laser scanners
复制标题
使用陆地激光扫描仪的辐射和几何数据进行近岸海洋垃圾检测
DOI：
10.1016/j.jag.2022.103149
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发表时间：
2023-02
期刊：
影响因子：
--
通讯作者：
Tao Pengjie
中科院分区：
文献类型：
--
作者：
Yang Jianru;Tan Kai;Liu Shuai;Zhang Weiguo;Tao Pengjie
近岸海洋垃圾的不断增加已对海岸带生态环境造成严重危害，引起了人们的广泛关注。然而，IML的准确检测和定量表征仍然是一个挑战。提出了一种从地面激光扫描三维点云数据中自动检测和提取IML的新方法。通过联合使用辐射/强度信息和一系列导出的几何特征，通过四个主要步骤从周围环境中逐步提取IML。首先，根据IML和周围环境之间的光谱差异，通过多项式模型对强度数据进行校准以用于初始分割。其次，一个新的建议模型是用来校准的密度数据的进一步歧视的基础上的IML和周围环境之间的大小差异。第三，使用连接聚类算法将点分组到不同的簇中。根据形状和图案对几何特征进行聚类（即，线性度、尺寸和垂直度）来识别IML。第四，使用几何自修复过程来检索错误分类的IML点。以一个裸露滩涂上的人工场景和四个不同环境和IML类别的自然场景为例，验证了该方法的有效性。该方法的总体准确率和kappa系数平均分别为98%和0.69。与经典方法相比，该方法在不同的自然场景中表现出良好的鲁棒性与不同的IML类别，植被覆盖度，和环境干扰。该方法在IML时空解译中显示出巨大的潜力，并为验证来自星载或机载遥感平台的大规模IML产品提供了一种替代工具。
The increasing inshore marine litters (IML) have been jeopardizing the coastal ecology and environment and have attracted widespread concerns. Nevertheless, the accurate detection and quantitative characterization of IML remain a challenge. In this study, a new method is proposed to automatically detect and extract the IML from terrestrial laser scanning (TLS) 3D point clouds. IML are progressively extracted from the surroundings through four major steps by jointly using the radiometric/intensity information and a series of derived geometric features. First, the intensity data are calibrated by a polynomial model for an initial segmentation according to the spectral differences between the IML and surroundings. Second, a new proposed model is used to calibrate the density data for a further discrimination based on the size discrepancies between the IML and surroundings. Third, a connectivity clustering algorithm is used to group the points into different clusters. Cluster geometric features in terms of the shapes and patterns (i.e., linearity, sizes, and verticality) are constructed to identify the IML. Fourth, a geometric self-repairing procedure is used to retrieve the misclassified IML points. An artificially-arranged scene on a bare mudflat and four natural scenes with different circumstances and IML categories are investigated to validate the proposed method. The overall accuracy and kappa coefficient of the proposed method are averagely 98% and 0.69, respectively. Compared with the classical methods, the proposed method shows good robustness performance in different natural scenes with varied IML categories, vegetation coverages, and environmental disturbances. The proposed method shows great promise in IML spatiotemporal interpretation and provides an alternative tool for the validation of large-scale IML products from space-borne or airborne remote sensing platforms.
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影响因子：
4.5
作者：
Torr, PHS;Zisserman, A
通讯作者：
Zisserman, A
DOI：
10.5194/isprsannals-i-3-99-2012
发表时间：
2012-07
期刊：
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
影响因子：
--
作者：
Jérôme Demantké;B. Vallet;N. Paparoditis
通讯作者：
Jérôme Demantké;B. Vallet;N. Paparoditis
影响因子：
13.5
作者：
Acuna-Ruz, Tomas;Uribe, Diego;Mattar B, Cristian
通讯作者：
Mattar B, Cristian
影响因子：
27.6
作者：
Morales-Caselles, Carmen;Viejo, Josue;Cozar, Andres
通讯作者：
Cozar, Andres
DOI：
10.3390/rs11030331
发表时间：
2019-02
期刊：
Remote. Sens.
影响因子：
--
作者：
K. Tan;Jin Chen;Weiwei Qian;Weiguo Zhang;Fang Shen;Xiaojun Cheng
通讯作者：
K. Tan;Jin Chen;Weiwei Qian;Weiguo Zhang;Fang Shen;Xiaojun Cheng