Results 261 to 270 of about 4,776 (292)

Method and Implementation of Oil Spill Detection in SAR Image

2012
The Ocean is an important component part of the earth; it provides people the richest and the most valuable material resources. However, it is under various degrees of pollution every year. One of the most harmful pollution among them is the pollution by oil, and these oil pollutions are mainly come from ships oil leakage and explosions of oil ...
Zhuowei Hu, Lai Wei, Meichen Guo
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Satellite oil spill detection and monitoring in the optical range

2010 IEEE International Geoscience and Remote Sensing Symposium, 2010
Timely detection and continuously updated information are fundamental in reducing oil spill environmental impact. In particular meteorological satellite, thanks to an high temporal resolution and to an easy data delivery, can be profitably used for a near real time sea monitoring.
Caterina Livia Sara Grimaldi, Daniele Casciello, Irina Coviello, Teodosio Lacava, Nicola Pergola, Valerio Tramutoli   +5 more
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A multitemporal change detection solution to oil spill monitoring

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
This paper develops a novel oil spill detection approach by using the multitemporal optical remote sensing images. Differently from the traditional oil spill detection methods that mainly carried out on a monotemporal image, the proposed approach opens a new perspective to solve the considered oil spill detection problem in a multitemporal domain by ...
Sicong Liu 0001, Mingmin Chi, Yangxiu Zou, Alim Samat   +3 more
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Oil Spill Detection in Radarsat and Envisat SAR Images

IEEE Transactions on Geoscience and Remote Sensing, 2007
We present algorithms for automatic detection of oil spills in synthetic aperture radar (SAR) images. The algorithms consist of three main parts, namely: 1) detection of dark spots; 2) feature extraction from the dark spot candidates; and 3) classification of dark spots as oil spills or look-alikes. The algorithms have been trained on a large number of
Anne H. Schistad Solberg, Camilla Brekke, Per Ove Husøy   +2 more
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The application of laser‑induced fluorescence in oil spill detection

Environmental Science and Pollution Research
Over the past two decades, oil spills have been one of the most serious ecological disasters, causing massive damage to the aquatic and terrestrial ecosystems as well as the socio-economy. In view of this situation, several methods have been developed and utilized to analyze oil samples.
Shubo Zhang, Yafei Yuan, Zhanhu Wang, Jing Li   +3 more
openaire   +2 more sources

Dual-frequency oil spill detection algorithm

2017 Computing and Electromagnetics International Workshop (CEM), 2017
In this paper, we present a drone dual-frequency technique in order to detect thick oil slicks in ocean. From physical point of view, the problem is considered to be a multi-layers wave surface scattering model where we study the reflection of the electromagnetic (EM) waves from the sea layer covered by oil layer.
Bilal Hammoud, Fatima Mazeh, Kassem Jomaa, Hussam Ayad, Fabien Ndagijimana, Ghaleb Faour, Jalal Jomaah   +6 more
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A New Radar for Detection of Oil-Spills on Quiet Seas

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
A new polarimetric coherent Ku-band radar system with electrically steered antennas for detection of oil-spills on quiet sea has been under development since 2009. The paper presents the radar and some measurements of oil on quiet sea water.
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Detection of Oil Spill Through Fully Convolutional Network

2018
In this paper, a deep learning classification model is proposed for automatically detecting the marine oil spill in Lanset-7 and Lanset-8 images, which can combine fully convolutional network (FCN) with Resnet and Googlenet respectively. The classification algorithms, i.e. FCN-Googlenet and FCN-ResNet are compared to the state-of-the-art Support Vector
Yan Li 0040, Xiaofei Yang 0002, Yunming Ye, Lunan Cui, Binfeng Jia, Zhongming Jiang, Shaokai Wang   +6 more
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Oil Spill Detection Technique with Automatic Updating Using Deep Learning and Oil Spill Index

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
Dae-Woon Shin, Chan-Su Yang, Won-Jun Choi   +2 more
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Machine Learning Approach to Oil Spill Detection

SPE Nigeria Annual International Conference and Exhibition
Abstract In recent years, environmental scientists committed to safeguarding the planet have prioritized the detection and monitoring of oil spills in marine waters, a focus expected to persist. Rapid identification of oil spill incidents on the water's surface is crucial for timely monitoring and cleanup efforts, especially to protect ...
F. M. Kelechi, A. A. Aribisala
openaire   +1 more source