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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 …
Multi-modal and multi-temporal data fusion: Outcome of the 2012 GRSS data fusion contest
C Berger, M Voltersen, R Eckardt… - IEEE Journal of …, 2013 - ieeexplore.ieee.org
The 2012 Data Fusion Contest organized by the Data Fusion Technical Committee (DFTC)
of the IEEE Geoscience and Remote Sensing Society (GRSS) aimed at investigating the …
of the IEEE Geoscience and Remote Sensing Society (GRSS) aimed at investigating the …
Destroyed-buildings detection from VHR SAR images using deep features
Quick identification of post-earthquake destroyed buildings is critical for disaster
management. It can be performed in unsupervised way by comparing pre-disaster and post …
management. It can be performed in unsupervised way by comparing pre-disaster and post …
A multidirectional one-dimensional scanning method for harbor detection from sar images
With the development of economic globalization, coastal harbors have become an
increasingly important gateway for international trade. Synthetic aperture radar (SAR) is an …
increasingly important gateway for international trade. Synthetic aperture radar (SAR) is an …
Object-based change detection for individual buildings in SAR images captured with different incidence angles
Change detection of two SAR images captured with different incidence angles is a difficult
task but may be important in urgent situations like earthquakes. This paper presents a …
task but may be important in urgent situations like earthquakes. This paper presents a …
Change Detection Analysis using Information Theoretic Measures on SAR Images
We discuss the use of two statistics for change detection in the context of Synthetic Aperture
Radar (SAR) imagery. We show their application to a bi-temporal pair of HH and VV channel …
Radar (SAR) imagery. We show their application to a bi-temporal pair of HH and VV channel …
GeoSensor: On-line scalable change and event detection over big data
GeoSensor is a novel system that enriches change detection over satellite images with
event detection over news items and social media content. GeoSensor faces the major …
event detection over news items and social media content. GeoSensor faces the major …
SAR image change detection by likelihood ratio test in multi-temporal time series
This paper presents a change detection method between two Synthetic Aperture Radar
(SAR) images with similar incidence angles and using a likelihood ratio test (LRT). To …
(SAR) images with similar incidence angles and using a likelihood ratio test (LRT). To …
Change detection methods in high resolution Cosmo SkyMed images
In this paper we compare three approaches for change detection in SAR imagery: GRLT,
MIMOSA and one based on the Hellinger stochastic distance between distributions. The …
MIMOSA and one based on the Hellinger stochastic distance between distributions. The …