Learning by counterexamples in remote sensing image classification: a case study for road extraction-Reference-Cited by-同舟云学术

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Learning by counterexamples in remote sensing image classification: a case study for road extraction

Published:2024-08 Issue:8 Volume:15 Page:838-849
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Vieira de Oliveira Willian¹^ORCID,Dutra Luciano Vieira¹^ORCID,Sant’Anna Sidnei João Siqueira¹^ORCID

Affiliation:

1. Image Processing Department, National Institute for Space Research (INPE), São José dos Campos, Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2024.2384096

Reference19 articles.

1. Classification Methods for Remotely Sensed Data

2. Kernel Methods for Remote Sensing Data Analysis

3. Advanced Combinatorics

4. Learning Relationship for Very High Resolution Image Change Detection

5. Identifying Generalizable Image Segmentation Parameters for Urban Land Cover Mapping through Meta-Analysis and Regression Tree Modeling

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