25 citations · 26 across the 3 of their papers we have counts for
4 papers
SRCNet: Seminal Representation Collaborative Network for Marine Oil Spill Segmentation
Fang Chen, Heiko Balzter, Peng Ren +1
Effective oil spill segmentation in Synthetic Aperture Radar (SAR) images is critical for marine oil pollution cleanup, and proper image representation is helpful for accurate imag…
DGNet: Distribution Guided Efficient Learning for Oil Spill Image Segmentation
Fang Chen, Heiko Balzter, Feixiang Zhou +2
Successful implementation of oil spill segmentation in Synthetic Aperture Radar (SAR) images is vital for marine environmental protection. In this paper, we develop an effective se…
Oil Spill SAR Image Segmentation via Probability Distribution Modelling
Fang Chen, Aihua Zhang, Heiko Balzter +2
Segmentation of marine oil spills in Synthetic Aperture Radar (SAR) images is a challenging task because of the complexity and irregularities in SAR images. In this work, we aim to…
Investigating Spatial Error Structures in Continuous Raster Data
Narumasa Tsutsumida, Pedro Rodríguez-Veiga, Paul Harris +2
The objective of this study is to investigate spatial structures of error in the assessment of continuous raster data. The use of conventional diagnostics of error often overlooks…