GEOBIA 2016: Advances in Object-Based Image Analysis—Linking with Computer Vision and Machine Learning-Reference-Cited by-同舟云学术

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GEOBIA 2016: Advances in Object-Based Image Analysis—Linking with Computer Vision and Machine Learning

Published:2019-05-17 Issue:10 Volume:11 Page:1181
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Kerle Norman^ORCID,Gerke Markus,Lefèvre Sébastien^ORCID

Abstract

The 6th biennial conference on object-based image analysis—GEOBIA 2016—took place in September 2016 at the University of Twente in Enschede, The Netherlands (see www [...]

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

https://www.mdpi.com/2072-4292/11/10/1181/pdf

Reference19 articles.

1. Results of the ISPRS benchmark on urban object detection and 3D building reconstruction

2. Good Practices for Object-Based Accuracy Assessment

3. Stratified Template Matching to Support Refugee Camp Analysis in OBIA Workflows

4. Generating topographic map data from classification results;Höhle;Remote Sens.,2017

5. Reproducibility and Practical Adoption of GEOBIA with Open-Source Software in Docker Containers

Cited by 3 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

1. Spatial and spectral analysis of fairy circles in Namibia on a landscape scale using satellite image processing and machine learning analysis;International Journal of Applied Earth Observation and Geoinformation;2023-07

2. Mathematical analysis for computer vision applications;ADVANCES IN INTELLIGENT APPLICATIONS AND INNOVATIVE APPROACH;2023

3. Machine Learning in Computer Vision;Procedia Computer Science;2020

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