ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.11935
  4. Cited By
A framework for large-scale mapping of human settlement extent from
  Sentinel-2 images via fully convolutional neural networks

A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks

31 January 2020
C. Qiu
M. Schmitt
Christian Gei
T. Chen
Xiaoxiang Zhu
ArXivPDFHTML

Papers citing "A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks"

3 / 3 papers shown
Title
Aerial Scene Understanding in The Wild: Multi-Scene Recognition via
  Prototype-based Memory Networks
Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks
Yuansheng Hua
Lichao Mou
Jianzhe Lin
Konrad Heidler
Xiaoxiang Zhu
41
19
0
22 Apr 2021
Building Footprint Generation by IntegratingConvolution Neural Network
  with Feature PairwiseConditional Random Field (FPCRF)
Building Footprint Generation by IntegratingConvolution Neural Network with Feature PairwiseConditional Random Field (FPCRF)
Qingyu Li
Yilei Shi
Xin Huang
Xiaoxiang Zhu
38
65
0
11 Feb 2020
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
460
15,657
0
02 Nov 2015
1