A multispectral method for retrieving overlapping cloud top heights from passive radiometers

Teng, Shiwen; Liu, Chao; Tan, Zhonghui; Li, Jiming; Xu, Na; Hu, Xiuqing; Zhang, Peng; Yan, Wei; Sohn, Byung-Ju

doi:10.1016/j.rse.2022.113425

Cited by 7 publications

(1 citation statement)

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“…Xu proposed a method to detect the overlapped strawberries with the help of a histogram of oriented gradients and support vector machine [4]. Similarly, the retrieval of the overlapping cloud top heights, segmentation of overlapping nuclei, and detection of overlapped gravitational wave signals and genes overlapping are some of the most rated applications of suitable detection of overlapping regions [5]- [8].…”

Section: Introductionmentioning

confidence: 99%

A Three-Way Clustering Mechanism to Handle Overlapping Regions

Shah,

Ali,

Wahab

et al. 2024

IEEE Access

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The conventional clustering methods assume a binary classification and establish a complete inclusive or exclusive type relation of an object with a cluster. In contrast, a three-way paradigm handles situations where an object may or may not belong to a cluster, i.e., uncertain. The objects belonging to the uncertainty region may lead to inclusion or exclusion after further processing and information. One of the use cases of the three-way paradigm is the overlapping region between different clusters. Effective computation of overlapping objects is crucial to the application's overall success. In this paper, we employ a three-way clustering approach inspired by image blurring and sharpening operations that consider the objects in the inside or outside regions of a cluster to be non-overlapping. The objects belonging to the partial region of more than one cluster are considered overlapping. The experiment conducted on Birds, Scenes, and 20 newsgroups datasets indicates that the proposed approach improves the F1 measure and hamming loss up to by 18.6% and 4.9%, respectively. Furthermore, the system's robustness for overlapping regions is observed using typical clustering measures. The experimental results suggested that the proposed approach may improve the computation of overlapping regions effectively.INDEX TERMS Clustering, Three-way clustering, image processing, sharpening, blurring, Overlapping.

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Section: Introductionmentioning

confidence: 99%