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Tianchi Zhang, Yong Gao, Zhiyong Wang and Mingjun Zhang
This paper studies the underwater image restoration problem in autonomous operation of AUV guided by underwater visual. An improved underwater image restoration method is developed based on multi-frame neighboring images under artificial light source. At...
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Qizhe Lu, Yicheng Jing and Xuefeng Zhao
Machine vision based on deep learning is gaining more and more applications in structural health monitoring (SHM) due to the rich information that can be achieved in the images. Bolts are widely used in the connection of steel structures, and their loose...
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Mohammad Karimi Firozjaei, Naeim Mijani, Saman Nadizadeh Shorabeh, Yasin Kazemi, Yasser Ebrahimian Ghajari, Jamal Jokar Arsanjani, Majid Kiavarz and Seyed Kazem Alavipanah
Quantification of Surface Ecological Status (SES) changes is of great importance for understanding human exposure and adaptability to the environment. This study aims to assess the effect of urban growth on spatial and temporal changes of SES over a set ...
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Cheng Kang, Xujing Yao and Daniel Novak
In this paper, we propose a Fuzzy Window with the Gaussian Processed Label (FW-GPL) method to mitigate the overlap problem in the neighboring ordinal category when scoring images. Many published conventional methods treat this challenge as a traditional ...
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Vahid Nasiri, Seyed Mohammad Moein Sadeghi, Fardin Moradi, Samaneh Afshari, Azade Deljouei, Verena C. Griess, Carmen Maftei and Stelian Alexandru Borz
Forest canopy cover (FCC) is one of the most important forest inventory parameters and plays a critical role in evaluating forest functions. This study examines the potential of integrating Sentinel-1 (S-1) and Sentinel-2 (S-2) data to map FCC in the het...
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Ahmed Samy Nassar, Sébastien Lefèvre and Jan Dirk Wegner
We present a new approach for matching urban object instances across multiple ground-level images for the ultimate goal of city-scale mapping of objects with high positioning accuracy. What makes this task challenging is the strong change in view-point, ...
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Abdulrahman Alreshidi and Mohib Ullah
Facial emotion recognition is a crucial task for human-computer interaction, autonomous vehicles, and a multitude of multimedia applications. In this paper, we propose a modular framework for human facial emotions? recognition. The framework consists of ...
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Yanjun Wu, Xinnian Wang and Tao Zhang
Given a query shoeprint image, shoeprint retrieval aims to retrieve the most similar shoeprints available from a large set of shoeprint images. Most of the existing approaches focus on designing single low-level features to highlight the most similar asp...
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Mustapha El Jakani, Said Ettazarini, Hassan Rhinane, Mohammed Raji, Mohamed Radid and Mohamed Talbi
The Oum Er-Rbia estuary is located on the Atlantic littoral of Morocco. It undergoes severe clogging due to the sand deposition in its outlet. The current study examined the indicators of the morphodynamic evolution in the littoral system including the O...
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Wahyu Wiratama and Donggyu Sim
This paper proposes a fusion network for detecting changes between two high-resolution panchromatic images. The proposed fusion network consists of front- and back-end neural network architectures to generate dual outputs for change detection. Two networ...
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