Deep Siamese Network for annual change detection in Beijing using Landsat satellite data-Reference-Cited by-同舟云学术

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Deep Siamese Network for annual change detection in Beijing using Landsat satellite data

Published:2024-06 Issue: Volume:130 Page:103897
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:

Bao Hanqing^ORCID,Zerres Vinzenz H.D.,Lehnert Lukas W.^ORCID

Publisher

Elsevier BV

Reference44 articles.

1. DFCNN-Based Semantic Recognition of Urban Functional Zones by Integrating Remote Sensing Data and POI Data;Bao;Remote Sens. (Basel),2020

2. An ensemble method for monitoring land cover changes in urban areas using dense Landsat time series data;Baohui;ISPRS J. Photogramm. Remote Sens.,2023

3. Employing remote sensing technique to monitor the influence of newly established universities in creating an urban development process on the respective cities;Cetin;Land Use Policy,2021

4. Analysis and Applications of GlobeLand30: A Review;Chen;ISPRS Int. J. Geo Inf.,2017

5. Superpixel based land cover classification of VHR satellite image combining multi-scale CNN and scale parameter estimation;Chen;Earth Sci. Inf.,2019

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