Semi-supervised learning with constrained virtual support vector machines for classification of remote sensing image data-Reference-Cited by-同舟云学术

Semi-supervised learning with constrained virtual support vector machines for classification of remote sensing image data

Published:2023-12 Issue: Volume:125 Page:103571
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Geiß Christian,Aravena Pelizari Patrick,Tunçbilek Ozan,Taubenböck Hannes^ORCID

Funder

Bundesministerium für Bildung und Forschung

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference43 articles.

2. Multiresolution Segmentation—An Optimization Approach for High Quality Multi-Scale Image Segmentation, ser;Baatz,2000

3. Representation learning: a review and new perspectives;Bengio;IEEE Trans. Pattern Anal. Mach. Intell.,2013

4. Object based image analysis for remote sensing;Blaschke;ISPRS J. Photogramm. Remote Sens.,2010

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献