Results 41 to 50 of about 91 (86)

An Improved Three-Component Decomposition Method for $\pi$/4 Mode Compact PolInSAR Using Refined Volume Scattering Models

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In this article, an improved three-component decomposition method for $\pi /4$ compact polarimetric synthetic aperture radar Interferometry (PolInSAR) is proposed to interpret the scattering mechanisms of various terrain types.
Yu Wang, Weidong Yu, Daqing Ge, Bin Liu, Chunle Wang, Ling Zhang, Man Li   +6 more
doaj   +1 more source

P-Band PolInSAR Sub-Canopy Terrain Retrieval in Tropical Forests Using Forest Height-to-Unpenetrated Depth Mapping

Remote Sensing
For tropical forests characterized by tall and densely packed trees, even long-wavelength SAR signals may fail to achieve full penetration, posing a significant challenge for retrieving sub-canopy terrain using polarimetric interferometric SAR (InSAR ...
Chuanjun Wu, Jiali Hou, Peng Shen, Sai Wang, Gang Chen, Lu Zhang   +5 more
doaj   +1 more source

Rice Height Estimation with Multi-Baseline PolInSAR Data and Optimal Detection Baseline Combination Analysis

Remote Sensing
Rice is a primary food source, and height is a crucial parameter affecting its growth status. Consequently, high-precision, real-time monitoring of quantitative changes in crop height are required for improved crop production.
Bolin Zhang, Kun Li, Fengli Zhang, Yun Shao, Duo Wang, Linjiang Lou   +5 more
doaj   +1 more source

An approach to estimate tree height using PolInSAR data constructed by the Sentinel-1 dual-pol SAR data and RVoG model

Journal of Electronic Science and Technology
We estimate tree heights using polarimetric interferometric synthetic aperture radar (PolInSAR) data constructed by the dual-polarization (dual-pol) SAR data and random volume over the ground (RVoG) model.
Yin Zhang, Ding-Feng Duan
doaj   +1 more source

Estimation of Pine Forest Height and Underlying DEM Using Multi-Baseline P-Band PolInSAR Data

Remote Sensing, 2016
On the basis of the Gaussian vertical backscatter (GVB) model, this paper proposes a new method for extracting pine forest height and forest underlying digital elevation model (FUDEM) from multi-baseline (MB) P-band polarimetric-interferometric radar ...
Haiqiang Fu, Changcheng Wang, Jianjun Zhu, Qinghua Xie, Bing Zhang   +4 more
doaj   +1 more source

Forest Leaf Area Index Inversion Method by C- and L-Band Dual-Frequency Polarimetric Inerferometric SAR

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Synthetic aperture radar (SAR) operates at longer wavelengths, possesses all-weather and day-night operational capabilities, and exhibits strong penetration through forest volume layers, which provides a highly optimal technical solution for leaf area ...
Wenxue Fu, Xin Cui, Xinwu Li
doaj   +1 more source

Next-Generation C-Band SAR Mission: Design Concept for Earth Observation Service Continuity

Remote Sensing
This paper presents the findings related to the design solution options for a next-generation C-band Synthetic Aperture Radar (SAR) mission, developed to address the Harmonized User Needs (HUN) in Earth observation (EO) data as defined by several ...
Igor Zakharov, Desmond Power, Peter McGuire, Michael Völker, Jung-Hyo Kim, Matteo Emanuelli, Joseph Chamberland, Mike Stott, Sherry Warren, Juergen Janoth, Alexander Kaptein, Michael D. Henschel, Yue Ma   +12 more
doaj   +1 more source

A Novel Multi-Objective Binary Chimp Optimization Algorithm for Optimal Feature Selection: Application of Deep-Learning-Based Approaches for SAR Image Classification. [PDF]

Sensors (Basel), 2023
Sadeghi F, Larijani A, Rostami O, Martín D, Hajirahimi P.   +4 more
europepmc   +1 more source

Mapping Forest Height and Temporal Decorrelation With SAOCOM and GEDI Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Polarimetric SAR interferometric (PolInSAR) methods have proven effective for estimating canopy height using airborne data, yet their application with spaceborne sensors remains limited.
Santiago Seppi, Carlos Lopez-Martinez, Marisa Jacqueline Joseau   +2 more
doaj   +1 more source

Mapping tropical forest aboveground biomass using airborne SAR tomography. [PDF]

Sci Rep, 2023
Ramachandran N, Saatchi S, Tebaldini S, d'Alessandro MM, Dikshit O.   +4 more
europepmc   +1 more source