Results 81 to 90 of about 7,181 (241)
Remote Sensing, 2023 Edge detection for PolSAR images has demonstrated its importance in various applications such as segmentation and classification. Although there are many edge detectors which have demonstrated an impressive ability to achieve accurate edge detection ...
Xiaolong Zheng +4 more
doaj +1 more source
Statistical modeling of polarimetric SAR data: a survey and challenges [PDF]
, 2017 Knowledge of the exact statistical properties of the signal plays an important role in the applications of Polarimetric Synthetic Aperture Radar (PolSAR) data. In the last three decades, a considerable research effort has been devoted to finding accurate
Chen, Jinsgon +3 more
core +2 more sources
PolSAR Scene Classification via Low-Rank Constrained Multimodal Tensor Representation [PDF]
, 2022 Bo Ren +6 more
openalex +1 more source
IET Radar, Sonar &Navigation, Volume 18, Issue 10, Page 1919-1936, October 2024.The authors propose a novel waveform, namely, the orthogonal double V‐linear frequency modulation (ODV‐LFM) and corresponding simultaneous polarimetric measurement and pointwise linear and non‐linear processing methods. The proposed waveform can mitigate the influence of delay‐Doppler coupling and reduce the risk of false targets and ghosts in multiple‐
Biao Shen +3 more
wiley +1 more source
PSRN: Polarimetric Space Reconstruction Network for PolSAR Image Semantic Segmentation [PDF]
, 2021 Hao Jing +4 more
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Artificial Intelligence applications in Noise Radar Technology
IET Radar, Sonar &Navigation, Volume 18, Issue 7, Page 986-1001, July 2024.Abstract Radar systems are a topic of great interest, especially due to their extensive range of applications and ability to operate in all weather conditions. Modern radars have high requirements such as its resolution, accuracy and robustness, depending on the application.
Afonso L. Sénica +2 more
wiley +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingPolarimetric synthetic aperture radar (PolSAR) has attracted more attentions because of its excellent observation ability, and PolSAR image classification has become one of the significant tasks in remote sensing interpretation.
Ru Wang, Yinju Nie, Jie Geng
doaj +1 more source
3-D glacier subsurface characterization using SAR polarimetry [PDF]
, 2015 The paper introduces a new polarimetric scattering model able to interpret and invert coherent polarimetric SAR (PolSAR) measurements over glaciers and ice sheets.
Hajnsek, Irena +2 more
core +1 more source
IET Radar, Sonar &Navigation, Volume 18, Issue 7, Page 1106-1115, July 2024.The manuscript mainly investigates the sparse distributed vegetation height inversion problem. By analysing the scattering mechanisms of the sparse distributed vegetation, the authors proposed a method to select the samples to estimate PolInSAR coherence and vegetation height in non‐local areas by using the amplitude‐normalised interferometric phase ...
Jing Xu +3 more
wiley +1 more source
Earth and Space Science, Volume 11, Issue 4, April 2024.Abstract Many communities coexist with wildfires that lead to loss of lives, property, and ecosystem services. Remote sensing tools can aid disaster response and post‐event assessment, offering fire agencies opportunities for additional surveillance with radar, an all‐weather instrument that can image day or night.
Karen An, Cathleen E. Jones, Yunling Lou
wiley +1 more source