Results 181 to 190 of about 8,937 (214)

VHR image change detection based on discriminative dictionary learning

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
The difficulty of Very High Resolution (VHR) image change detection is mainly due to the low separability between the changed and unchanged class. The traditional approaches usually address the problem by solving the feature extraction and classification separately, which cannot ensure that the classification algorithm makes the best use of the ...
Kun Ding, Chunlei Huo, Yuan Xu, Chunhong Pan   +3 more
openaire   +1 more source

Urban Footprint from VHR SAR Images: Toward a Fully Operational Procedure

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Very-High-Resolution Synthetic Aperture Radar (VHR-SAR) images are of particular interest to characterize and monitor urban areas at a global scale. While automatic urban footprint extraction from SAR images can be theoretically performed at very high spatial and temporal resolutions, in practice it requires a huge amount of processing time and memory ...
Garzelli, Andrea, Zoppetti, Claudia
openaire   +1 more source

Simultaneous change region and pattern identification for VHR images

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
Very high resolution images are promising for detecting change regions and identifying change patterns. However, the low overall separability makes it difficult to discriminate change features. In this paper, a framework is proposed to simultaneously detect change regions and identify change patterns.
Leigang Huo, Chunlei Huo
openaire   +1 more source

Semantic rich ICM algorithm for VHR satellite images segmentation

2015 14th IAPR International Conference on Machine Vision Applications (MVA), 2015
In this article we show some applications of a MRF-based segmentation algorithm applied to real data extracted from a very high resolution image. This algorithm has specific features that enable the extraction of semantic information on the clusters in the form of affinity and geographic position properties.
Sublime, Jérémie, Troya-Galvis, Andrès, Bennani, Younès, Cornuéjols, Antoine, Gancarski, Pierre   +4 more
openaire   +1 more source

Building detection and radar footprint reconstruction from single VHR SAR images

2010 IEEE International Geoscience and Remote Sensing Symposium, 2010
The development of methods for the automatic detection and reconstruction of building radar footprints fromsingle very high resolution (VHR) synthetic aperture radar (SAR) images is a difficult task for two main reasons: i) the very high complexity of VHR SAR images; and ii) the need to develop efficient algorithms that can be applied to large images ...
Ferro, Adamo, Brunner, Dominik, Bruzzone, Lorenzo   +2 more
openaire   +2 more sources

Optimization of matched filters for VHR image segmentation

International Journal of Remote Sensing, 2022
Belkis Asma Semcheddine, Abdelhamid Daamouche   +1 more
openaire   +1 more source

Assessing the Reconstructability of Shadow Areas in VHR Images

IEEE Transactions on Geoscience and Remote Sensing, 2013
Very high resolution (VHR) images are appreciated for their high-level details, which significantly increase their application potential. However, typically, VHR images are affected by the presence of shadows. An attempt solution to the problem of shadows is to restore shadow-contaminated regions by compensating the value of shaded pixels ...
Lorenzi, Luca, Melgani, Farid, G. Mercier, Bazi, Yakoub   +3 more
openaire   +1 more source

Adaptive Matched Filters for VHR Image Classification

2022 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS), 2022
Belkis Asma Semcheddine, Abdelhamid Daamouche   +1 more
openaire   +1 more source

An improved road and building detector on VHR images

2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
A method is proposed for building and road detection on VHR multispectral aerial images of dense urban areas. In order to exploit all available information both spatial and spectral features of segmented areas are classified, using a 3-class SVM. Geometrical object features improve the classification accuracy in the difficult case where many building ...
openaire   +1 more source

Difference Guided VHR Remote Sensing Image Change Detection

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
Jiukai Sun, Ganchao Liu, Xuelong Li, Yuan Yuan   +3 more
openaire   +1 more source