Results 31 to 40 of about 91 (86)

A Modified Two-Steps Three-Stage Inversion Algorithm for Forest Height Inversion Using Single-Baseline L-Band PolInSAR Data

Remote Sensing, 2022
Forest height inversion with Polarimetric SAR Interferometry (PolInSAR) has become a research hotspot in the field of radar remote sensing. In this paper, we systematically studied a modified two-step, three-stage inversion simulating the L-band (L = 23 ...
Jianshuang Zhang, Yangjian Zhang, Wenyi Fan, Liyuan He, Ying Yu, Xuegang Mao   +5 more
doaj   +1 more source

Scattering‐Based Model of the SAR Signatures of Complex Targets for Classification Applications

International Journal of Navigation and Observation, Volume 2008, Issue 1, 2008., 2008
The modeling of complex target response in SAR imagery is the main subject of this paper. The analysis of a large database of SAR images with polarimetric and interferometric capabilities is used to accurately establish how the different structural parts of targets interact with the incident signal.
Gerard Margarit, Jordi J. Mallorqui, Simon Watts   +2 more
wiley   +1 more source

A Machine-Learning Approach to PolInSAR and LiDAR Data Fusion for Improved Tropical Forest Canopy Height Estimation Using NASA AfriSAR Campaign Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018
This paper investigates the benefits of integrating multibaseline polarimetric interferometric SAR (PolInSAR) data with LiDAR measurements using a machine-learning approach in order to obtain improved forest canopy height estimates.
Maryam Pourshamsi, Mariano Garcia, Marco Lavalle, Heiko Balzter   +3 more
doaj   +1 more source

Improvement of Forest Height Retrieval By Integration of Dual-Baseline PolInSAR Data And External DEM Data [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
In recent years, a lot of studies have shown that polarimetric synthetic aperture radar interferometry (PolInSAR) is a powerful technique for forest height mapping and monitoring. However, few researches address the problem of terrain slope effect, which
Q. Xie, C. Wang, J. Zhu, H. Fu, C. Wang
doaj   +1 more source

The Performance of Airborne C-Band PolInSAR Data on Forest Growth Stage Types Classification

Remote Sensing, 2017
In this paper, we propose a classification scheme for forest growth stage types and other cover types using a support vector machine (SVM) based on the Polarimetric SAR Interferometric (PolInSAR) data acquired by Chinese Multidimensional Space Joint ...
Qi Feng, Liangjiang Zhou, Erxue Chen, Xingdong Liang, Lei Zhao, Yu Zhou   +5 more
doaj   +1 more source

Sparse vegetation height estimation based on non‐local sample selection with generalised inner product

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, Long Cheng, Chao Xue, Zhiyong Suo   +3 more
wiley   +1 more source

Complex Least Squares Adjustment to Improve Tree Height Inversion Problem in PolInSAR [PDF]

Journal of Geodesy and Geoinformation Science, 2019
At present, the principal data processing methods involving complex observations are based on two strategies according to characteristics of the observation process, i.e., step-by-step and direct resolution.
Jianjun ZHU,Qinghua XIE,Tingying ZUO,Changcheng WANG,Jian XIE
doaj   +1 more source

Capabilities of BIOMASS Three-Baseline PolInSAR Mode for the Characterization of Tropical Forests

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
As the 7th Earth Explorer Mission within the ESA Earth Observation Program, BIOMASS will be the first spaceborne P-band polarimetric interferometric SAR (PolInSAR) mission, dedicated to global forest remote sensing.
Yanzhou Xie, Laurent Ferro-Famil, Yue Huang, Thuy Le Toan, Jianjun Zhu, Haiqiang Fu, Peng Shen   +6 more
doaj   +1 more source

Temporal Decorrelation Effect in Carbon Stocks Estimation Using Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) (Case Study: Southeast Sulawesi Tropical Forest)

Forum Geografi, 2017
This paper was aimed to analyse the effect of temporal decorrelation in carbon stocks estimation. Estimation of carbon stocks plays important roles particularly to understand the global carbon cycle in the atmosphere regarding with climate change ...
Laode M Golok Jaya, Ketut Wikantika, Katmoko Ari Sambodo, Armi Susandi   +3 more
doaj   +1 more source

The BIOMASS Level 2 Prototype Processor: Design and Experimental Results of Above-Ground Biomass Estimation

Remote Sensing, 2020
BIOMASS is ESA’s seventh Earth Explorer mission, scheduled for launch in 2022. The satellite will be the first P-band SAR sensor in space and will be operated in fully polarimetric interferometric and tomographic modes.
Francesco Banda, Davide Giudici, Thuy Le Toan, Mauro Mariotti d’Alessandro, Kostas Papathanassiou, Shaun Quegan, Guido Riembauer, Klaus Scipal, Maciej Soja, Stefano Tebaldini, Lars Ulander, Ludovic Villard   +11 more
doaj   +1 more source