Automatic detection of charcoal kilns on Very High Resolution images with a computer vision approach in Somalia-Reference-Cited by-同舟云学术

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Automatic detection of charcoal kilns on Very High Resolution images with a computer vision approach in Somalia

Published:2023-12 Issue: Volume:125 Page:103524
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:

Verhegghen Astrid^ORCID,Martinez-Sanchez Laura^ORCID,Bolognesi Michele^ORCID,Meroni Michele^ORCID,Rembold Felix,Vojnović Petar^ORCID,van der Velde Marijn^ORCID

Funder

European Commission Joint Research Centre

Publisher

Elsevier BV

Subject

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

Reference54 articles.

1. Perceptual quality assessment of pan-sharpened images;Agudelo-Medina;Remote Sens.,2019

2. Demand for cooking fuels in a developing country: To what extent do taste and preferences matter?;Akpalu;Energy Policy,2011

3. Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using mask R-CNN;Ball;Remote Sens. Ecol. Conserv.,2023

4. The extent of forest in dryland biomes.;Bastin;Science,2017

5. Analysis of Very High-Resolution Satellite Images to Generate Information on the Charcoal Production and Its Dynamics in South Somalia from 2011 to 2017;Bolognesi,2018

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