Results 21 to 30 of about 274,981 (298)
Journal of Marine Science and Engineering, 2023 Satellite image analysis is a potentially powerful tool for monitoring coastal shoreline positions. This study explores the use of multi-temporal, dual-polarised Sentinel-1 GRD synthetic aperture radar (SAR) imagery with a spatial resolution of 10 m for ...
Emmanuel Chigozie Dike +2 more
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Locally Adaptive Tree-Based Thresholding Using the treethresh Package in R
Journal of Statistical Software, 2017 This paper introduces the treethresh package offering accurate estimation, via thresholding, of potentially sparse heterogeneous signals and the denoising of images using wavelets.
Ludger Evers, Tim Heaton
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Remote Sensing, 2018 Natural hazards include a wide range of high-impact phenomena that affect socioeconomic and natural systems. Landslides are a natural hazard whose destructive power has caused a significant number of victims and substantial damage around the world ...
Rocío N. Ramos-Bernal +4 more
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Anomaly Detection in Multichannel Data Using Sparse Representation in RADWT Frames
Mathematics, 2021 We introduce a new methodology for anomaly detection (AD) in multichannel fast oscillating signals based on nonparametric penalized regression. Assuming the signals share similar shapes and characteristics, the estimation procedures are based on the use ...
Daniela De Canditiis, Italia De Feis
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Remote Sensing, 2015 Accurate and up-to-date mapping and monitoring of rubber plantations is challenging. In this study, we presented a simple method for rapidly and accurately mapping rubber plantations in the Xishuangbanna region of southwest China using phenology-based ...
Hui Fan +3 more
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An Automatic Multilevel Image Thresholding Using Relative Entropy and Meta-Heuristic Algorithms
Entropy, 2013 Multilevel thresholding has been long considered as one of the most popular techniques for image segmentation. Multilevel thresholding outputs a gray scale image in which more details from the original picture can be kept, while binary thresholding can ...
Josue R. Cuevas, Yun-Chia Liang
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Image-Based Concrete Crack Detection Method Using the Median Absolute Deviation
SensorsThis paper proposes an innovative approach for detecting and quantifying concrete cracks using an adaptive threshold method based on Median Absolute Deviation (MAD) in images.
Juan Camilo Avendaño +2 more
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Flood Detection with SAR: A Review of Techniques and Datasets
Remote SensingFloods are among the most severe and impacting natural disasters. Their occurrence rate and intensity have been significantly increasing worldwide in the last years due to climate change and urbanization, bringing unprecedented effects on human lives and
Donato Amitrano +3 more
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Improved Degraded Document Image Binarization Using Median Filter for Background Estimation
Elektronika ir Elektrotechnika, 2018 In this paper, we propose a new binarization method suitable for images having a variety of sizes and degradation levels. It is mainly based on the idea of estimating a document background surface by new smoothing approach through a median filter and ...
Mehdi Khitas +2 more
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