Intelligent hybrid system for dark spot detection using SAR data-Reference-Cited by-同舟云学术

Intelligent hybrid system for dark spot detection using SAR data

Published:2017-09 Issue: Volume:81 Page:384-397
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Genovez Patrícia,Ebecken Nelson,Freitas Corina,Bentz Cristina,Freitas Ramon

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference80 articles.

1. Data mining;Aggarwal,2015

2. Remote sensing in support of oil spill response: Planning guidance;API: American Petroleum Institute,2013

3. Bayesian approach to oil slicks edge detection based on SAR data;Bandiera;IEEE Transactions On Geoscience and Remote Sensing,2014

4. Automatic recognition of coastal and oceanic environmental events with orbital radars;Bentz;IEEE International Geoscience and Remote Sensing Symposium,2007

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Geometric Pattern Recognition to Distinguish Natural from Anthropic Oil Slicks in the Brazilian Equatorial Margin;Day 1 Tue, October 24, 2023;2023-10-17

2. Development and Application of Predictive Models to Distinguish Seepage Slicks from Oil Spills on Sea Surfaces Employing SAR Sensors and Artificial Intelligence: Geometric Patterns Recognition under a Transfer Learning Approach;Remote Sensing;2023-03-08

3. Multi-source knowledge graph reasoning for ocean oil spill detection from satellite SAR images;International Journal of Applied Earth Observation and Geoinformation;2023-02

4. Dark Spot Detection from SAR Images Based on Superpixel Deeper Graph Convolutional Network;Remote Sensing;2022-11-07

5. Geometric Pattern Recognition using Machine Learning: Predictive Models to Distinguish Natural from Anthropic Oil Slicks in the Gulf of Mexico;Rio Oil and Gas Expo and Conference;2022-09-26