Results 1 to 10 of about 9,247 (50)

Uncertainty Estimation for Deep Learning-Based Segmentation of Roads in Synthetic Aperture Radar Imagery

Remote Sensing, 2021
Mission-critical applications that rely on deep learning (DL) for automation suffer because DL models struggle to provide reliable indicators of failure.
Jarrod Haas, Bernhard Rabus
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The normalised Sentinel-1 Global Backscatter Model, mapping Earth’s land surface with C-band microwaves

Scientific Data, 2021
Measurement(s) C-band radar backscatter • extent of permanent water bodies Technology Type(s) Synthetic Aperture Radar (SAR) • Synthetic Aperture Radar (SAR) normalised mosaic Factor Type(s) radar backscatter Sample Characteristic - Environment land ...
Bernhard Bauer-Marschallinger, Senmao Cao, Claudio Navacchi, Vahid Freeman, Felix Reuß, Dirk Geudtner, Björn Rommen, Francisco Ceba Vega, Paul Snoeij, Evert Attema, Christoph Reimer, Wolfgang Wagner   +11 more
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Doppler Factor in the Omega-k Algorithm for Pulsed and Continuous Wave Synthetic Aperture Radar Raw Data Processing

Applied Sciences, 2023
Synthetic aperture radar (SAR) raw data do not have a direct application; therefore, SAR raw signal processing algorithms are used to generate images that are used for various required applications.
Jhohan Jancco-Chara, Facundo Palomino-Quispe, Roger Jesus Coaquira-Castillo, Julio Cesar Herrera-Levano, Ruben Florez   +4 more
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Evaluation of the change in synthetic aperture radar imaging using transfer learning and residual network

Компьютерная оптика, 2021
Change detection from synthetic aperture radar images becomes a key technique to detect change area related to some phenomenon as flood and deformation of the earth surface.
I. Hamdi, Y. Tounsi, M. Benjelloun, A. Nassim   +3 more
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A New Classification Approach with Deep Mask R-CNN for Synthetic Aperture Radar Image Segmentation

Elektronika ir Elektrotechnika, 2020
In this paper, a hybrid classification approach which is combined with a more deep mask region-convolutional neural network and sparsity driven despeckling algorithm is proposed for synthetic aperture radar (SAR) image segmentation instead of the ...
Ridvan Yayla, Baha Sen
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A Novel Attention Fully Convolutional Network Method for Synthetic Aperture Radar Image Segmentation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
As an important step of synthetic aperture radar image interpretation, synthetic aperture radar image segmentation aims at segmenting an image into different regions in terms of homogeneity.
Zhenyu Yue, Fei Gao, Qingxu Xiong, Jun Wang, Amir Hussain, Huiyu Zhou   +5 more
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AUGMENTING THE PHILIPPINES’ DOST-ASTI’S POTENTIAL FLOOD EXTENTS MAPPING SERVICE WITH S-BAND NOVASAR-1 IMAGES [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The Philippines’ Advanced Science and Technology Institute under the Department of Science and Technology (DOST-ASTI) has developed an AI-based and near real-time flood extent mapping service that utilizes C-Band Sentinel-1 SAR images.
J. B. L. C. Dumalag, J. B. L. C. Dumalag, K. L. S. Mariano, K. L. S. Mariano, N. R. Cadiz, N. R. Cadiz, A. E. Retamar, A. E. Retamar, J. C. Aceron, J. C. Aceron, M. M. Felicen, M. M. Felicen, M. C. Gelido, M. C. Gelido   +13 more
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In-Orbit Operational Parameter Calculation and Performance Optimization in KOMPSAT-6 Synthetic Aperture Radar

Remote Sensing, 2021
A new method to design in-orbit synthetic aperture radar operational parameters has been implemented for the Korean Multi-purpose Satellite 6 mission. The implemented method optimizes the pulse repetition frequency when a satellite altitude changes from ...
Jin-Bong Sung, Sung-Yong Hong
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TerraSAR-X Time Series Fill a Gap in Spaceborne Snowmelt Monitoring of Small Arctic Catchments—A Case Study on Qikiqtaruk (Herschel Island), Canada

Remote Sensing, 2018
The timing of snowmelt is an important turning point in the seasonal cycle of small Arctic catchments. The TerraSAR-X (TSX) satellite mission is a synthetic aperture radar system (SAR) with high potential to measure the high spatiotemporal variability of
Samuel Stettner, Hugues Lantuit, Birgit Heim, Jayson Eppler, Achim Roth, Annett Bartsch, Bernhard Rabus   +6 more
doaj   +1 more source

Synchronization for mini‐UAV‐based high‐resolution BiSAR systems: Lost direct signal estimation based on Hampel filtering

Electronics Letters, 2022
In mini‐unmanned aerial vehicle‐based high‐resolution bistatic synthetic aperture radar systems, the rotation of the unmanned aerial vehicle platforms will cause direct signal loss, resulting in the reduction of synchronization error compensation ...
Zhanze Wang, Feifeng Liu, Shuyao Zhang, Zhixiang Xu   +3 more
doaj   +1 more source