A novel deep learning method for marine oil spill detection from ...

A fast and effective SAR oil spill detection method is presented, based a novel deep learning model, named the Faster Region-based Convolutional Neural Network ...

To overcome these restrictions, a fast and effective SAR oil spill detection method is presented, based a novel deep learning model, named the Faster Region- ...

(PDF) A Novel Deep Learning Method for Marine Oil Spill Detection ...

PDF | Oil spill discharges from operational maritime activities like ships, oil rigs and other 1 structures, leaking pipelines, ...

[PDF] A novel deep learning method for marine oil spill detection ...

44 Citations · Ocean oil spill detection from SAR images based on multi-channel deep learning semantic segmentation. · SAR marine oil spill detection based on ...

A novel deep learning method for marine oil spill detection ... - Scite

To assist faster emergency oil spill responses a novel faster regionbased convolutional neural network model is developed which uses satellite synthetic ...

Msf-Osdnet: A Novel Deep Learning Method for Oil Spill Fine ...

Consequently, a single sensor often cannot meet all these requirements. To address this issue, we propose an oil spill detection framework based ...

A novel deep learning method for marine oil spill detection ... - OUCI

A novel deep learning method for marine oil spill detection from satellite synthetic aperture radar imagery · List of references · Publications that cite this ...

A novel deep learning instance segmentation model for automated ...

... In 2020, Yekeen et al. [59] proposed a novel deep learning algorithm to detect the oil spills. This process can be achieved by ...

Deep Learning-Based Approaches for Oil Spill Detection - MDPI

Oil spill detection and mapping using deep learning (OSDMDL) is crucial for assessing its impact on coastal and marine ecosystems. A novel approach was ...

AUTOMATED MARINE OIL SPILL DETECTION USING DEEP ...

This study developed a novel deep learning oil spill instance segmentation model using Mask-Region-based Convolutional Neural.

[PDF] Deep Learning-Based Approaches for Oil Spill Detection

Oil spill detection and mapping using deep learning (OSDMDL) is crucial for assessing its impact on coastal and marine ecosystems. A novel approach was ...

A deep learning based oil spill detector using Sentinel-1 SAR imagery

To provide automatic detection of oil pollution from not only maritime accidents but also deliberate discharges in this region, a deep learning-based object ...

A Deep-Learning Framework for the Detection of Oil Spills from SAR ...

For the two oil spill region cases, the proposed approach provided a 15% accuracy increase and a 25% Region Fitting Error (RFE) decrease for the Gamma noise ...

Deep Learning-Based Approaches for Oil Spill Detection - OUCI

Oil spill detection and mapping using deep learning (OSDMDL) is crucial for assessing its impact on coastal and marine ecosystems. A novel approach was ...

A Novel Marine Oil Spillage Identification Scheme Based on ...

dant features, we proposed an oil spill detection method based on the fusion of deep learning features. The main contribu- tions of this ...

Oil spill classification based on satellite image using deep learning ...

The findings proved that the InceptionV4 algorithm is suitable for classifying oil spills and no spill with satellite images on a validated ...

An automatic approach for the detection of oil spill using optimized ...

The deep learning approach automatically detects the spilled region using a trained network. Here, the hybrid Moth flame and particle swarm algorithms are used ...

Oil spill Monitoring: Segmentation of Satellite Imagery - GitHub

Sensors, Features, and Machine Learning for Oil Spill Detection and Monitoring: A Review · An improved semantic segmentation model based on SVM for marine oil ...

Machine Learning Approach to Oil Spill Detection - OnePetro

In cases of oil spills in marine systems, swift identification and monitoring facilitate precise cleanup and recovery of hydrocarbons on the ...

Verification of Marine Oil Spills Using Aerial Images Based on Deep ...

Verification of Marine Oil Spills Using Aerial Images Based on Deep Learning Methods. ... oil spills from SAR images with deep learning // Remote Sensing.