Texture analysis approaches in modelling informal settlements: a review-Reference-Cited by-同舟云学术

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Texture analysis approaches in modelling informal settlements: a review

Published:2022-06-13 Issue:26 Volume:37 Page:13451-13478
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Matarira D.¹,Mutanga O.²,Naidu M.³

Affiliation:

1. School of Agriculture, Earth and Environmental Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa

2. Department of Geography, Pietermaritzburg, South Africa

3. Department of Humanities, School of Social Sciences, University of KwaZulu-Natal, Durban, South Africa

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2082541

Reference99 articles.

1. Urban texture and space configuration: An essay on integrating socio-spatial analytical techniques

2. Textural classification of remotely sensed images using multiresolution techniques

3. Textural segmentation of remotely sensed images using multiresolution analysis for slum area identification

4. Texture Based Identification of Informal Settlements in Contourlet Feature Space

5. Ansari RA, Malhotra R, Buddhiraju KM. Texture based identification of informal settlements in contourlet feature space. Proceedings - 2019 IEEE International Symposium on Multimedia, ISM 2019, 2019b. p. 267–270.

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1. Combining Local Knowledge with Object-Based Machine Learning Techniques for Extracting Informal Settlements from Very High-Resolution Satellite Data;Earth Systems and Environment;2024-04-10

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3. Using Local Knowledge and Remote Sensing in the Identification of Informal Settlements in Riyadh City, Saudi Arabia;Remote Sensing;2023-08-06

4. Mapping Informal Settlements Using Machine Learning Techniques, Object-based Image Analysis and Local Knowledge;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

5. Google Earth Engine for Informal Settlement Mapping: A Random Forest Classification Using Spectral and Textural Information;Remote Sensing;2022-10-14

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