Multimodal classification of remote sensing images: A review and future directions
Earth observation through remote sensing images allows the accurate characterization and
identification of materials on the surface from space and airborne platforms. Multiple and …
identification of materials on the surface from space and airborne platforms. Multiple and …
Soil moisture retrieval from active spaceborne microwave observations: An evaluation of current techniques
BW Barrett, E Dwyer, P Whelan - Remote Sensing, 2009 - mdpi.com
The importance of land surface-atmosphere interactions, principally the effects of soil
moisture, on hydrological, meteorological, and ecological processes has gained widespread …
moisture, on hydrological, meteorological, and ecological processes has gained widespread …
Structure consistency-based graph for unsupervised change detection with homogeneous and heterogeneous remote sensing images
Change detection (CD) of remote sensing (RS) images is one of the important problems in
earth observation, which has been extensively studied in recent years. However, with the …
earth observation, which has been extensively studied in recent years. However, with the …
Near real-time wildfire progression monitoring with Sentinel-1 SAR time series and deep learning
In recent years, the world witnessed many devastating wildfires that resulted in destructive
human and environmental impacts across the globe. Emergency response and rapid …
human and environmental impacts across the globe. Emergency response and rapid …
A deep convolutional coupling network for change detection based on heterogeneous optical and radar images
We propose an unsupervised deep convolutional coupling network for change detection
based on two heterogeneous images acquired by optical sensors and radars on different …
based on two heterogeneous images acquired by optical sensors and radars on different …
A hierarchical split-based approach for parametric thresholding of SAR images: Flood inundation as a test case
M Chini, R Hostache, L Giustarini… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Parametric thresholding algorithms applied to synthetic aperture radar (SAR) imagery
typically require the estimation of two distribution functions, ie, one representing the target …
typically require the estimation of two distribution functions, ie, one representing the target …
Building change detection in VHR SAR images via unsupervised deep transcoding
Building change detection (CD), important for its application in urban monitoring, can be
performed in near real time by comparing prechange and postchange very-high-spatial …
performed in near real time by comparing prechange and postchange very-high-spatial …
Change detection in synthetic aperture radar images based on image fusion and fuzzy clustering
M Gong, Z Zhou, J Ma - IEEE Transactions on Image …, 2011 - ieeexplore.ieee.org
This paper presents an unsupervised distribution-free change detection approach for
synthetic aperture radar (SAR) images based on an image fusion strategy and a novel fuzzy …
synthetic aperture radar (SAR) images based on an image fusion strategy and a novel fuzzy …
Earthquake damage assessment of buildings using VHR optical and SAR imagery
D Brunner, G Lemoine… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
Rapid damage assessment after natural disasters (eg, earthquakes) and violent conflicts
(eg, war-related destruction) is crucial for initiating effective emergency response actions …
(eg, war-related destruction) is crucial for initiating effective emergency response actions …
Fast flood extent monitoring with SAR change detection using google earth engine
Flooding is one of the most frequent and disastrous natural hazards triggered by extreme
precipitation, high river runoff, hurricane storm surges, and the compounding effects of …
precipitation, high river runoff, hurricane storm surges, and the compounding effects of …