Results 61 to 70 of about 8,278 (213)
This Special Issue hosts papers related to deformation monitoring in urban areas based on two main techniques: Persistent Scatterer Interferometry (PSI) and Synthetic Aperture Radar (SAR) Tomography (TomoSAR).
Alessandra Budillon +2 more
doaj +1 more source
Mapping tropical forest aboveground biomass using airborne SAR tomography. [PDF]
Ramachandran N +4 more
europepmc +1 more source
A flexible piezoresistive pressure sensor with gradient toroidal CNT/PDMS microstructures is reported. The hierarchical geometry enables sequential electrode contact, achieving a sensitivity of 256.20 kPa−1 and linear response (R2 = 0.99) over 0–1000 kPa.
Rongmei Wang +8 more
wiley +1 more source
Gridless GLRT Approach for Polarimetric SAR Tomography
Tomographic synthetic aperture radar is a fundamental imaging technique for urban environments' mapping and monitoring. Yet, its performance is often limited by the discrete height grid used in conventional reconstruction methods, leading to off ...
Nabil Haddad +3 more
doaj +1 more source
UAVSAR Tomography for Vertical Profile Generation of Tropical Forest of Mondah National Park, Gabon
Polarimetric synthetic‐aperture radar (SAR) remote sensing has been widely used for structural and biophysical parameters retrieval of forest vegetation.
Udit Asopa, Shashi Kumar
doaj +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Exploiting SAR visual semantics in TomoSAR for 3D modeling of buildings
Recently a new paradigm is emerging in synthetic aperture radar (SAR) three-dimensional (3D) imaging technology where the imaging performance is enhanced by exploiting SAR visual semantics.
Wang Wei +4 more
doaj +1 more source
Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
Synthetic aperture radar tomography (TomoSAR) is widely used in reconstructing forest vertical structure, but accurately locating both ground and canopy scatterers in dense forest areas remains challenging.
Jie Wan +3 more
doaj +1 more source
GPS tomography tests for DInSAR applications on Mt. Etna
Tropospheric artifacts of SAR images in a volcanic area like Mt. Etna cause ambiguity in the interpretation of deformations with such technique. It would be useful to measure the delay caused by tropospheric anomalies in synthetic aperture radar (SAR ...
Massimo Aranzulla, Giuseppe Puglisi
doaj +1 more source

