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 …
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
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 …
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 …
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 …
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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
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
Магістерська дисертація Page 1 НАЦІОНАЛЬНИЙ ТЕХНІЧНИЙ УНІВЕРСИТЕТ
УКРАЇНИ «КИЇВСЬКИЙ ПОЛІТЕХНІЧНИЙ ІНСТИТУТ імені ІГОРЯ СІКОРСЬКОГО» …
УКРАЇНИ «КИЇВСЬКИЙ ПОЛІТЕХНІЧНИЙ ІНСТИТУТ імені ІГОРЯ СІКОРСЬКОГО» …