Developments in Landsat land cover classification methods: A review
D Phiri, J Morgenroth - Remote Sensing, 2017 - mdpi.com
Land cover classification of Landsat images is one of the most important applications
developed from Earth observation satellites. The last four decades were marked by different …
developed from Earth observation satellites. The last four decades were marked by different …
A survey of data fusion in smart city applications
The advancement of various research sectors such as Internet of Things (IoT), Machine
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …
[HTML][HTML] A comprehensive review of spatial-temporal-spectral information reconstruction techniques
Fine spatial resolution remote sensing images are crucial sources of data for monitoring the
Earth's surface. Due to defects in sensors and the complicated imaging environment …
Earth's surface. Due to defects in sensors and the complicated imaging environment …
Spatio-temporal fusion for daily Sentinel-2 images
Abstract Sentinel-2 and Sentinel-3 are two newly launched satellites for global monitoring.
The Sentinel-2 Multispectral Imager (MSI) and Sentinel-3 Ocean and Land Colour …
The Sentinel-2 Multispectral Imager (MSI) and Sentinel-3 Ocean and Land Colour …
MLFF-GAN: A multilevel feature fusion with GAN for spatiotemporal remote sensing images
Due to the limitation of technology and budget, it is often difficult for sensors of a single
remote sensing satellite to have both high-temporal and high-spatial (HTHS) resolution at …
remote sensing satellite to have both high-temporal and high-spatial (HTHS) resolution at …
A Bayesian data fusion approach to spatio-temporal fusion of remotely sensed images
J Xue, Y Leung, T Fung - Remote Sensing, 2017 - mdpi.com
Remote sensing provides rich sources of data for the monitoring of land surface dynamics.
However, single-sensor systems are constrained from providing spatially high-resolution …
However, single-sensor systems are constrained from providing spatially high-resolution …
Modeling flood plain wetland transformation in consequences of flow alteration in Punarbhaba river in India and Bangladesh
Ecologically precious and economically remunerative wetland resources in the riparian
flood plain of Punarbhaba river basin are under massive transformation in post hydrological …
flood plain of Punarbhaba river basin are under massive transformation in post hydrological …
[HTML][HTML] Unpaired spatio-temporal fusion of image patches (USTFIP) from cloud covered images
Spatio-temporal image fusion aims to increase the frequency and resolution of multispectral
satellite sensor images in a cost-effective manner. However, practical constraints on input …
satellite sensor images in a cost-effective manner. However, practical constraints on input …
Integrated fusion framework based on semicoupled sparse tensor factorization for spatio-temporal–spectral fusion of remote sensing images
Remote sensing image fusion is considered a cost effective method for handling the tradeoff
between the spatial, temporal and spectral resolutions of current satellite systems. However …
between the spatial, temporal and spectral resolutions of current satellite systems. However …
Monitoring cotton root rot by synthetic Sentinel-2 NDVI time series using improved spatial and temporal data fusion
To better understand the progression of cotton root rot within the season, time series
monitoring is required. In this study, an improved spatial and temporal data fusion approach …
monitoring is required. In this study, an improved spatial and temporal data fusion approach …