MSCDUNet: a deep learning framework for built-up area change detection integrating multispectral, SAR, and VHR data

H Li, F Zhu, X Zheng, M Liu… - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
Built-up area change detection (CD) plays an important role in city management, which
always uses very high spatial resolution (VHR) remote sensing data to extract refined spatial …

Methods in the spatial deep learning: Current status and future direction

B Mishra, A Dahal, N Luintel, TB Shahi, S Panthi… - Spatial Information …, 2022 - Springer
A deep neural network (DNN), evolved from a traditional artificial neural network, has been
seamlessly adapted for the spatial data domain over the years. Deep learning (DL) has …

Fusion of SAR and multispectral images using random forest regression for change detection

DK Seo, YH Kim, YD Eo, MH Lee, WY Park - ISPRS International Journal …, 2018 - mdpi.com
In order to overcome the insufficiency of single remote sensing data in change detection,
synthetic aperture radar (SAR) and optical image data can be used together for …

A review of fusion framework using optical sensors and Synthetic Aperture Radar imagery to detect and map land degradation and sustainable land management in …

D Sengani, A Ramoelo, E Archer - Geocarto International, 2023 - Taylor & Francis
This paper examines a feature-level fusion framework for detecting and mapping land
degradation (LD) and enabling sustainable land management (SLM) in semi-arid areas …

Deep learning-based framework for spatiotemporal data fusion: an instance of landsat 8 and sentinel 2 NDVI

B Mishra, TB Shahi - Journal of Applied Remote Sensing, 2021 - spiedigitallibrary.org
Multi-source, multi-temporal, and multi-resolution satellite images have been increasing
over a couple of years. The spatiotemporal data fusion technique could be a promising …

Post-war urban damage mapping using InSAR: the case of Mosul City in Iraq

AD Boloorani, M Darvishi, Q Weng, X Liu - ISPRS International Journal of …, 2021 - mdpi.com
Urban infrastructures have become imperative to human life. Any damage to these
infrastructures as a result of detrimental activities would accrue huge economical costs and …

A sentinel-1 based processing chain for detection of cyclonic flood impacts

C Alexandre, R Johary, T Catry, P Mouquet, C Révillion… - remote sensing, 2020 - mdpi.com
In the future, climate change will induce even more severe hurricanes. Not only should these
be better understood, but there is also a necessity to improve the assessment of their …

Self-supervised change detection by fusing SAR and optical multi-temporal images

Y Chen, L Bruzzone - 2021 IEEE International Geoscience and …, 2021 - ieeexplore.ieee.org
The availability of multi-sensor data presents an opportunity for change detection based on
the complementary use of properties associated with different data sources. This paper …

Extraction and mapping of downpour impact and their Cumulonimbus origin, 20 May 2020, Vâlcea (Romania) via Sentinnel-1 SAR dual polarization

K Hachemi, F Grecu, DM Constantin… - Scientific reports, 2022 - nature.com
The aim of this work is to study the impact and characteristics of the meteorological
phenomenon that occurred on May 20, 2020 in Vâlcea County, Romania. For this purpose …

[PDF][PDF] Система автоматизованої кореєстрації оптичних та радарних супутникових знімків земної поверхні

ЮЮ Царенок - 2019 - core.ac.uk
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