Results 81 to 90 of about 14,591 (204)
Detection of Earthquake-Induced Building Damages Using Polarimetric SAR Data
Remote sensing, particularly using synthetic aperture radar (SAR) systems, can be an effective tool in detecting and assessing the area and amount of building damages caused by earthquake or tsunami.
Sang-Eun Park, Yoon Taek Jung
doaj +1 more source
Assessment of multi-temporal, multi-sensor radar and ancillary spatial data for grasslands monitoring in Ireland using machine learning approaches [PDF]
Accurate inventories of grasslands are important for studies of carbon dynamics, biodiversity conservation and agricultural management. For regions with persistent cloud cover the use of multi-temporal synthetic aperture radar (SAR) data provides an ...
Barrett, Brian +3 more
core +1 more source
Modelling real‐world effects in near‐field SAR collections for compressive sensing
This paper develops previously published work on using compressive sensing techniques to suppress sidelobes in SAR images to develop a higher‐fidelity measurement model. Using Cranfield University's GBSAR System a series, experimental measurements are conducted, and image estimation techniques are applied to this real data.
George A. J. Price +4 more
wiley +1 more source
A polarimetric ground-based radar (GB-radar) system operated in the L-band has been developed. The frequency range of GB-radar is 1.215 to 1.3 GHz, which is the same as that of Japanese satellite-borne SAR, PALSAR-2 (Phased Array type L-band Synthetic ...
Manabu Watanabe, Masanobu Shimada
doaj +1 more source
Hybrid polarimetry inverse synthetic aperture radar
The CTLR hybrid‐pol ISAR offers an efficient solution for non‐cooperative target applications, striking an optimal balance between conventional single‐pol ISAR and the widely used full‐pol ISAR. This approach is particularly advantageous for compact radar systems, such as those used in drones and small ground‐radar setups, where it could prove to be a ...
Ajeet Kumar +2 more
wiley +1 more source
The classification of polarimetric SAR image based on Multiple-Component Scattering Model (MCSM) and Support Vector Machine (SVM) is presented in this paper. MCSM is a potential decomposition method for a general condition.
Zhang Lamei +3 more
doaj +2 more sources
Landslide detection in mountainous forest areas using polarimetry and interferometric coherence
The cloud-free, wide-swath, day-and-night observation capability of synthetic aperture radar (SAR) has an important role in rapid landslide monitoring to reduce economic and human losses.
Masato Ohki +3 more
doaj +1 more source
Detecting covariance symmetries for classification of polarimetric SAR images [PDF]
The availability of multiple images of the same scene acquired with the same radar but with different polarizations, both in transmission and reception, has the potential to enhance the classification, detection and/or recognition capabilities of a ...
Clemente, Carmine +3 more
core +1 more source
Polarimetry for Sparse Multistatic 3D SAR
3D SAR imagery provides target height information and removes layover artefacts, but it has impractical sampling requirements. This article develops the PolSSARVI approach, where a sparsely formed set of polarisation‐weighted interferograms are combined for determining the 3D coordinates of scatterers.
Richard Welsh, Daniel Andre, Mark Finnis
wiley +1 more source
3-D broadband ground-based polarimetric SAR data processing for the monitoring of vegetation growth variations [PDF]
Subtitle of Symposium: Science for society: exploring and managing a changing planetSAR is usually used for airborne or space borne remote sensing. It can also advantageously be exploited in a ground-based radar imaging system named Ground-based SAR (GB ...
Boerner, Wolfgang-Martin +3 more
core +1 more source

