Results 21 to 30 of about 3,219 (267)

An Analysis of the Optimal Features for Sentinel-1 Oil Spill Datasets Based on an Improved J–M/K-Means Algorithm

Remote Sensing, 2022
With the rapid development of world shipping, oil spill accidents such as tanker collisions, illegal sewage discharges, and oil pipeline ruptures occur frequently.
Lingxiao Cheng, Ying Li, Xiaohui Zhang, Ming Xie   +3 more
doaj   +1 more source

ANALYSIS OF OIL SPILL RISK USING SPACE-TIME PATTERN OF INCIDENTS IN THE NIGER DELTA, NIGERIA [PDF]

Journal of Sustainable Energy, 2019
Oil spills are hazardous due to their impact on the people, the environment and economic wellbeing of the society. The study examined the space-time trend and pattern of oil spills in the Niger Delta (2006-2016).
LAWAL O., IKPO R.C.
doaj  

Detection and identification of oil spill species based on polarization information.

PLoS ONE, 2023
Aiming at the problem of poor oil identification accuracy in existing oil spill detection technologies, the polarization degree model of oil spill on rough sea surface under different azimuths and zenith angles was established based on Fresnel theory ...
Hongyu Sun, Zhehao Zhao, Qiang Fu, Haodong Shi, Yingchao Li, Di Yang, Jianan Liu, Chao Wang, Huilin Jiang   +8 more
doaj   +1 more source

A Multifamily GLRT for Oil Spill Detection [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2017
This paper deals with detection of oil spills from multipolarization synthetic aperture radar images. The problem is cast in terms of a composite hypothesis test aimed at discriminating between the polarimetric covariance matrix (PCM) equality (absence of oil spills in the tested region) and the situation where the region under test exhibits a PCM with
De Maio A., Orlando D., Pallotta L., Clemente C.   +3 more
openaire   +5 more sources

Multi-Feature Based Ocean Oil Spill Detection for Polarimetric SAR Data Using Random Forest and the Self-Similarity Parameter

Remote Sensing, 2019
Synthetic aperture radar (SAR) is an important means to detect ocean oil spills which cause serious damage to the marine ecosystem. However, the look-alikes, which have a similar behavior to oil slicks in SAR images, will reduce the oil spill detection ...
Shengwu Tong, Xiuguo Liu, Qihao Chen, Zhengjia Zhang, Guangqi Xie   +4 more
doaj   +1 more source

Detection of Massive Oil Spills in Sun Glint Optical Imagery through Super-Pixel Segmentation

Journal of Marine Science and Engineering, 2022
Large volumes of crude oil accidentally released into the sea may cause irreversible adverse impacts on marine and coastal environments. Large swath optical imagery, acquired using platforms such as the moderate-resolution imaging spectroradiometer ...
Zhen Sun, Shaojie Sun, Jun Zhao, Bin Ai, Qingshu Yang   +4 more
doaj   +1 more source

Oil Spill Source Identification Using Colorimetric Detection [PDF]

Australian Journal of Chemistry, 2019
The colorimetric detection of polycyclic aromatic hydrocarbons (PAHs) was investigated for the quick and easy identification of likely oil spill offenders. In this new technology, photochromic compounds were used to sense PAHs by varying their photoswitching capacity.
Walmiria Woodland, Richard Lim, Cherie Motti, Paul Irving, Jun Wang, Mark Payne, Peter C. Junk, George Vamvounis   +7 more
openaire   +2 more sources

Multifeature Semantic Complementation Network for Marine Oil Spill Localization and Segmentation Based on SAR Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Marine oil spill causes severe damage to the marine ecological environment. Synthetic aperture radar (SAR) is widely used in marine oil spill detection due to its all-day and all-weather advantages.
Jianchao Fan, Shuai Zhang, Xinzhe Wang, Jun Xing   +3 more
doaj   +1 more source

VOS-net: real-time oil spill detection in uav videos via lightweight adapter tuning

International Journal of Digital Earth
Deep learning has attracted increasing attention for oil spill detection, and the rapid detection of oil spill areas can significantly reduce economic losses and environmental damage.
Zhenqi Liu, Chen Sun, Lyuzhou Gao, Yinghong Jing, Yuzeng Chen, Ailong Ma, Yanfei Zhong   +6 more
doaj   +1 more source

Detection of oil spills based on gray level co-occurrence matrix and support vector machine

Frontiers in Environmental Science, 2022
Accurate reconnaissance of Marine oil spill is very important for emergency management of Marine oil spill accidents. Unmanned aerial vehicles (UAV) is a suitable carrier for offshore oil spill reconnaissance because of its fast deployment speed and low ...
Kai Li, Kai Li, Hongliang Yu, Yiqun Xu, Xiaoqing Luo, Xiaoqing Luo   +5 more
doaj   +1 more source