4.7 Article

Sentinel-1 and Sentinel-2 Data Fusion for Urban Change Detection Using a Dual Stream U-Net

Related references

Note: Only part of the references are listed.
Article Geochemistry & Geophysics

Unsupervised Deep Transfer Learning-Based Change Detection for HR Multispectral Images

Sudipan Saha et al.

Summary: This letter introduces a novel unsupervised deep-learning-based change detection method for modeling spatial context and exploiting all spectral bands in multispectral high spatial resolution images. Experimental results across urban, Alpine, and agricultural Sentinel-2 datasets confirm the effectiveness of the proposed method in identifying changed pixels.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2021)

Proceedings Paper Computer Science, Artificial Intelligence

ON THE FUSION STRATEGIES OF SENTINEL-1 AND SENTINEL-2 DATA FOR LOCAL CLIMATE ZONE CLASSIFICATION

Jakob Gawlikowski et al.

IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (2020)

Article Geochemistry & Geophysics

Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images

Sudipan Saha et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)

Proceedings Paper Geosciences, Multidisciplinary

DETECTING URBAN CHANGES WITH RECURRENT NEURAL NETWORKS FROM MULTITEMPORAL SENTINEL-2 DATA

Maria Papadomanolaki et al.

2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) (2019)

Proceedings Paper Geosciences, Multidisciplinary

EMBRANCHMENT CNN BASED LOCAL CLIMATE ZONE CLASSIFICATION USING SAR AND MULTISPECTRAL REMOTE SENSING DATA

Pengming Feng et al.

2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) (2019)

Article Environmental Sciences

Towards a 20 m Global Building Map from Sentinel-1 SAR Data

Marco Chini et al.

REMOTE SENSING (2018)

Article Environmental Sciences

Google Earth Engine: Planetary-scale geospatial analysis for everyone

Noel Gorelick et al.

REMOTE SENSING OF ENVIRONMENT (2017)

Review Environmental Sciences

A critical synthesis of remotely sensed optical image change detection techniques

Andrew P. Tewkesbury et al.

REMOTE SENSING OF ENVIRONMENT (2015)

Article Engineering, Electrical & Electronic

Multitemporal Spaceborne SAR Data for Urban Change Detection in China

Yifang Ban et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2012)

Article Geochemistry & Geophysics

An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images

Y Bazi et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2005)