Results 131 to 140 of about 3,144 (202)

PolSAR image classification using shallow to deep feature fusion network with complex valued attention. [PDF]

Sci Rep
Alkhatib MQ, Zitouni MS, Al-Saad M, Aburaed N, Al-Ahmad H.   +4 more
europepmc   +1 more source

Recent Advances in Deep Learning for SAR Images: Overview of Methods, Challenges, and Future Directions. [PDF]

Sensors (Basel)
Peter E, Ang LM, Seng KP, Srivastava S.
europepmc   +1 more source

MSMTRIU-Net: Deep Learning-Based Method for Identifying Rice Cultivation Areas Using Multi-Source and Multi-Temporal Remote Sensing Images. [PDF]

Sensors (Basel)
Wang M, Ma X, Zheng T, Su Z.
europepmc   +1 more source

Internal Clustering Validation on Riemannian manifolds for PolSAR Data Analysis

International audienceUnsupervised clustering methods play a vital role in extracting information from PolSAR data, both for analyzing polarimetric signatures and identifying geospatial scenes of interest.
Vasile, Gabriel, Congedo, Marco
core   +1 more source

Polarimetric Time-Series InSAR for Surface Deformation Monitoring in Mining Area Using Dual-Polarization Data. [PDF]

Sensors (Basel)
Ju X, Gao S, Li Y.
europepmc   +1 more source

Software Tool for Soil Surface Parameters Retrieval from Fully Polarimetric Remotely Sensed SAR Data. [PDF]

Sensors (Basel), 2020
Poreh D, Iodice A, Natale A, Riccio D.
europepmc   +1 more source

Modeling of bathymetry changes from airsar/polsar data

, 2007
This paper introduces a new method for reconstructing three-dimensional (3D) coastal bathymetry changes from Airborne AIRSAR/POLSAR synthetic aperture data. The new method is based on integration between fuzzy B-spline and Volterra algorithm.
Marghany, Maged, Hashim, Mazlan, Cracknell, Arthur P.   +2 more
core  

Small-Target Detection Algorithm Based on Improved YOLOv11n. [PDF]

Sensors (Basel)
Zeng K, Yu W, Qin X, Long S.
europepmc   +1 more source

Correlated Decision Fusion Accompanied with Quality Information on a Multi-Band Pixel Basis for Land Cover Classification. [PDF]

J Imaging
Papadopoulos S, Koukiou G, Anastassopoulos V.   +2 more
europepmc   +1 more source

Machine learning prediction of future land surface temperature from SAR optical fusion under urban expansion in Changsha, China. [PDF]

Sci Rep
He P, Chen Z, Zhang L, Ma C, Luo C.
europepmc   +1 more source