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A novel Deep Structure U-Net for Sea-Land Segmentation in Remote Sensing
  Images

A novel Deep Structure U-Net for Sea-Land Segmentation in Remote Sensing Images

17 March 2020
Pourya Shamsolmoali
Masoumeh Zareapoor
Ruili Wang
Huiyu Zhou
Jie Yang
    SSeg
ArXivPDFHTML

Papers citing "A novel Deep Structure U-Net for Sea-Land Segmentation in Remote Sensing Images"

4 / 4 papers shown
Title
Multi-patch Feature Pyramid Network for Weakly Supervised Object
  Detection in Optical Remote Sensing Images
Multi-patch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images
Pourya Shamsolmoali
Jocelyn Chanussot
Masoumeh Zareapoor
Huiyu Zhou
Jie Yang
ObjD
30
28
0
18 Aug 2021
Rotation Equivariant Feature Image Pyramid Network for Object Detection
  in Optical Remote Sensing Imagery
Rotation Equivariant Feature Image Pyramid Network for Object Detection in Optical Remote Sensing Imagery
Pourya Shamsolmoali
Masoumeh Zareapoor
Jocelyn Chanussot
Huiyu Zhou
Jie Yang
ObjD
19
35
0
02 Jun 2021
HED-UNet: Combined Segmentation and Edge Detection for Monitoring the
  Antarctic Coastline
HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline
Konrad Heidler
Lichao Mou
C. Baumhoer
A. Dietz
Xiaoxiang Zhu
36
111
0
02 Mar 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
448
15,652
0
02 Nov 2015
1