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Matija Milanic and Rok Hren
The Adding-Doubling (AD) algorithm is a general analytical solution of the radiative transfer equation (RTE). AD offers a favorable balance between accuracy and computational efficiency, surpassing other RTE solutions, such as Monte Carlo (MC) simulation...
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Jose Manuel Monsalve-Tellez, Jorge Luis Torres-León and Yeison Alberto Garcés-Gómez
This paper presents an evaluation of land cover accuracy, particularly regarding oil palm crop cover, using optical/synthetic aperture radar (SAR) image fusion methods through the implementation of the random forest (RF) algorithm on cloud computing plat...
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Weiliang Tao, Yan Liu, Zhimin Ma and Wenbin Hu
This paper proposes a novel particle image velocimetry (PIV) technique to generate an instantaneous two-dimensional velocity field for sediment-laden fluid based on the optical flow algorithm of ultrasound imaging. In this paper, an ultrasonic PIV (UIV) ...
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Yao Li, Liang Qin, Dezheng Yang, Li Zhang and Wenchun Wang
In this paper, the packed bed dielectric barrier discharge (DBD) with needle-plate electrode configuration is presented to study the effects of electrical parameters, such as pulse duration and pulse rising and falling time, on discharge characteristics ...
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Yong Mei, Hao Chen and Shuting Yang
High-resolution remote sensing image building target detection has wide application value in the fields of land planning, geographic monitoring, smart cities and other fields. However, due to the complex background of remote sensing imagery, some detaile...
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Liqian Wang, Shuzhen Fan, Yunxia Liu, Yongfu Li, Cheng Fei, Junliang Liu, Bohan Liu, Yakui Dong, Zhaojun Liu and Xian Zhao
The ocean connects all continents and is an important space for human activities. Ship detection with electro-optical images has shown great potential due to the abundant imaging spectrum and, hence, strongly supports human activities in the ocean. A sui...
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Rui Zhang, Xinming Tang, Shucheng You, Kaifeng Duan, Haiyan Xiang and Hongxia Luo
Remote sensing data plays an important role in classifying land use/land cover (LULC) information from various sensors having different spectral, spatial and temporal resolutions. The fusion of an optical image and a synthetic aperture radar (SAR) image ...
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Darius Phiri, Matamyo Simwanda, Vincent Nyirenda, Yuji Murayama and Manjula Ranagalage
Decision tree (DT) algorithms are important non-parametric tools used for land cover classification. While different DTs have been applied to Landsat land cover classification, their individual classification accuracies and performance have not been comp...
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Thomas P. Oghalai, Ryan Long, Wihan Kim, Brian E. Applegate and John S. Oghalai
Optical Coherence Tomography (OCT) is a light-based imaging modality that is used widely in the diagnosis and management of eye disease, and it is starting to become used to evaluate for ear disease. However, manual image analysis to interpret the anatom...
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Ibrahim Arslan, Mehmet Topakci and Nusret Demir
The decrease in water resources due to climate change is expected to have a significant impact on agriculture. On the other hand, as the world population increases so does the demand for food. It is necessary to better manage environmental resources and ...
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Jian Guo, Shuchen Wang and Qizhi Xu
The complexity of changeable marine backgrounds makes ship detection from satellite remote sensing images a challenging task. The ubiquitous interference of cloud and fog led to missed detection and false-alarms when using imagery-based optical satellite...
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Marino Marrocu and Luca Massidda
In this article, a nowcasting technique for meteorological radar images based on a generative neural network is presented. This technique?s performance is compared with state-of-the-art optical flow procedures. Both methods have been validated using a pu...
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Qingge Ji, Jie Huang, Wenjie He and Yankui Sun
Finetuning pre-trained deep neural networks (DNN) delicately designed for large-scale natural images may not be suitable for medical images due to the intrinsic difference between the datasets. We propose a strategy to modify DNNs, which improves their p...
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Hasan S.M Al-Khaffat, Nadia A. Musa
Pág. 1 - 11
Introduction: In this paper, a system for recognizing fonts has been designed and implemented. The system is based on the Eigenfaces method. Because font recognition works in conjunction with other methods like Optical Character Recognition (OCR), we use...
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Yun Ren, Changren Zhu and Shunping Xiao
The PASCAL VOC Challenge performance has been significantly boosted by the prevalently CNN-based pipelines like Faster R-CNN. However, directly applying the Faster R-CNN to the small remote sensing objects usually renders poor performance. To address thi...
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Daniel Hölbling, Clemens Eisank, Florian Albrecht, Filippo Vecchiotti, Barbara Friedl, Elisabeth Weinke and Arben Kociu
Object-based image analysis (OBIA) has been increasingly used to map geohazards such as landslides on optical satellite images. OBIA shows various advantages over traditional image analysis methods due to its potential for considering various properties ...
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Angel James Medina Medina, Rolando Salas López, Jhon Antony Zabaleta Santisteban, Katerin Meliza Tuesta Trauco, Efrain Yury Turpo Cayo, Nixon Huaman Haro, Manuel Oliva Cruz and Darwin Gómez Fernández
One of the world?s major agricultural crops is rice (Oryza sativa), a staple food for more than half of the global population. In this research, synthetic aperture radar (SAR) and optical images are used to analyze the monthly dynamics of this crop in th...
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Marco Mastrofini, Ivan Agostinelli and Fabio Curti
The present work focuses on the investigation of an artificial intelligence (AI) algorithm for brightest objects segmentation in night sky images? field of view (FOV). This task is mandatory for many applications that want to focus on the brightest objec...
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Limei Wang, Guowang Jin, Xin Xiong, Hongmin Zhang and Ke Wu
Although winter wheat has been mapped by remote sensing in several studies, such mapping efforts did not sufficiently utilize contextual information to reduce the noise and still depended heavily on optical imagery and exhausting classification approache...
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Leonid Tymchenko,Vladimir Tverdomed,Nikolay Petrovsky,Natalya Kokryatskaya,Yurii Maistrenko
Pág. 21 - 27
A method for processing images of spots of laser beams is presented for systems using a modern and promising form of communication using atmospheric-optical communication lines (AOCL). The method allows to significantly expand the use of laser technology...
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