ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1811.04247
  4. Cited By
Deep Learning Approach for Building Detection in Satellite Multispectral
  Imagery

Deep Learning Approach for Building Detection in Satellite Multispectral Imagery

10 November 2018
Geesara Prathap
Ilya M. Afanasyev
ArXiv (abs)PDFHTML

Papers citing "Deep Learning Approach for Building Detection in Satellite Multispectral Imagery"

8 / 8 papers shown
Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint
  Extraction from LiDAR Data with Limited Annotations
Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited AnnotationsIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Anuja Vats
David Völgyes
Martijn Vermeer
Marius Pedersen
Kiran Raja
D. Fantin
Jacob Alexander Hay
SSL
169
8
0
02 Nov 2023
Tracking the industrial growth of modern China with high-resolution
  panchromatic imagery: A sequential convolutional approach
Tracking the industrial growth of modern China with high-resolution panchromatic imagery: A sequential convolutional approach
Ethan Brewer
Zhonghui Lv
Daniel M. Runfola
211
3
0
23 Jan 2023
Dwelling Type Classification for Disaster Risk Assessment Using
  Satellite Imagery
Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery
Md Nasir
Tina Sederholm
Anshu Sharma
Sundeep Reddy Mallu
Sumedh Ranjan Ghatage
Rahul Dodhia
J. L. Ferres
98
2
0
16 Nov 2022
Automatic satellite building construction monitoring
Automatic satellite building construction monitoring
Insaf Ashrapov
D. Malakhov
A. Marchenkov
Anton Lulin
Dani El-Ayyass
101
0
0
29 Sep 2022
Trinity: A No-Code AI platform for complex spatial datasets
Trinity: A No-Code AI platform for complex spatial datasets
C. V. K. Iyer
Feili Hou
Henry Wang
Yonghong Wang
Kay Oh
Swetava Ganguli
Vipul Pandey
SyDa
261
24
0
21 Jun 2021
Object-Based Augmentation Improves Quality of Remote Sensing Semantic
  Segmentation
Object-Based Augmentation Improves Quality of Remote Sensing Semantic Segmentation
S. Illarionova
S. Nesteruk
Dmitrii G. Shadrin
V. Ignatiev
M. Pukalchik
Ivan Oseledets
160
6
0
12 May 2021
The color out of space: learning self-supervised representations for
  Earth Observation imagery
The color out of space: learning self-supervised representations for Earth Observation imagery
Stefano Vincenzi
Angelo Porrello
Pietro Buzzega
Marco Cipriano
Pietro Fronte
Roberto Cuccu
C. Ippoliti
A. Conte
Simone Calderara
SSL
194
65
0
22 Jun 2020
Spotting insects from satellites: modeling the presence of Culicoides
  imicola through Deep CNNs
Spotting insects from satellites: modeling the presence of Culicoides imicola through Deep CNNsInternational Conference on Signal-Image Technology and Internet-Based Systems (SITIS), 2019
Stefano Vincenzi
Angelo Porrello
Pietro Buzzega
A. Conte
C. Ippoliti
L. Candeloro
A. D. Lorenzo
A. C. Dondona
Simone Calderara
144
13
0
22 Nov 2019
1