Results 91 to 100 of about 14,591 (204)

Quantifying Temporal Decorrelation over Boreal Forest at L- and P-band [PDF]

, 2008
Temporal decorrelation is probably the most critical factor towards a successful implementation of Pol-InSAR parameter inversion techniques in terms of repeat-pass InSAR scenarios. In this paper the effect and impact of temporal decorrelation at L- and P-
Hajnsek, Irena, Kugler, Florian, Lee, Seung-Kuk, Papathanassiou, Konstantinos   +3 more
core  

Deep learning in remote sensing: a review [PDF]

, 2017
Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields ...
Fraundorfer, Friedrich, Mou, Lichao, Tuia, Devis, Xia, Gui-Song, Xu, Feng, Zhang, Liangpei, Zhu, Xiao Xiang   +6 more
core   +4 more sources

Modelling PolSAR Scattering Signatures at Long Wavelengths of Glacier Ice Volumes [PDF]

, 2012
The crucial role of cryosphere for understanding the global climate change has been widely recognized in recent decades [1]. Glaciers and ice sheets are the main components of the cryosphere and constitute the basic reservoir of fresh water for high ...
Al-Kahachi, Noora, Hajnsek, Irena, Jagdhuber, Thomas, Papathanassiou, Kostantinos, Parrella, Giuseppe   +4 more
core  

Identification of optimal Sentinel-1 SAR polarimetric parameters for forest monitoring in Czechia

Acta Universitatis Carolinae Geographica
Time series analysis of synthetic aperture radar data (SAR) offers a systematic, dynamic and comprehensive way to monitor forests. The main emphasis of this study is on the identification of the most suitable and best performing Sentinel-1 SAR ...
Daniel Paluba, Bertrand Le Saux, Francesco Sarti, Přemysl Štych   +3 more
doaj   +1 more source

Ocean Oil Spill Classification with RADARSAT-2 SAR Based on an Optimized Wavelet Neural Network

Remote Sensing, 2017
Oil spill accidents from ship or oil platform cause damage to marine and coastal environment and ecosystems. To monitor such spill events from space, fully polarimetric (Pol-SAR) synthetic aperture radar (SAR) has been greatly used in improving oil spill
Dongmei Song, Yaxiong Ding, Xiaofeng Li, Biao Zhang, Mingyu Xu   +4 more
doaj   +1 more source

Perceptually Optimal Color Representation of Fully Polarimetric SAR Imagery. [PDF]

J Imaging, 2022
Koukiou G.
europepmc   +1 more source

Space-borne polarimetric SAR sensors or the golden age of radar polarimetry

EPJ Web of Conferences, 2010
SAR Polarimetry represents an active area of research in Active Earth Remote Sensing. This interest is clearly supported by the fact that nowadays there exists, or there will exist in a very next future, a non negligible quantity of launched ...
Pottier E.
doaj   +1 more source

Radar Image Colorization: Converting Single-Polarization to Fully Polarimetric Using Deep Neural Networks

IEEE Access, 2018
Numerous radar polarimetry theories and polarimetric synthetic aperture radar (PolSAR) processing methods have been developed. However, the vast majority of SAR images are not fully polarimetric (full-pol).
Qian Song, Feng Xu, Ya-Qiu Jin
doaj   +1 more source

Assessment of GF3 Full-Polarimetric SAR Data for Dryland Crop Classification with Different Polarimetric Decomposition Methods. [PDF]

Sensors (Basel), 2022
Wang M, Liu C, Han D, Wang F, Hou X, Liang S, Sui X.   +6 more
europepmc   +1 more source

SOIL MOISTURE CHARACTERIZATION USING MULTI-ANGULAR POLARIMETRIC RADARSAT-2 DATASETS [PDF]

, 2013
International audienceThe use of multi-angular polarimetric datasets instead of the standard single-angular data is considered to be a solution to improve the effectiveness of bare soil char- acterization.
Allain, Sophie, Meric, Stéphane, Pottier, Eric, Wang, Hongquan   +3 more
core   +2 more sources