Results 101 to 110 of about 1,587 (183)

Entropy-based Statistical Analysis of PolSAR Data

, 2012
Images obtained from coherent illumination processes are contaminated with speckle noise, with polarimetric synthetic aperture radar (PolSAR) imagery as a prominent example.
Cintra, Renato J., Frery, Alejandro C., Nascimento, Abraão D. C.   +2 more
core   +1 more source

H/α Unsupervised Classification for Highly Textured Polinsar Images using Information Geometry of Covariance Matrices

, 2011
International audienceWe discuss in the paper the use of the Riemannian mean given by the differential geometric tools. This geometric mean is used in this paper for computing the class centers in the polarimetric H/α unsupervised classification process.
Ferro-Famil, Laurent, Formont, Pierre, Ovarlez, Jean-Philippe, Pascal, Frédéric, Vasile, Gabriel   +4 more
core   +1 more source

Segmentation and Classification of Polarimetric SAR Data based on the KummerU Distribution [PDF]

, 2009
International audienceThinner spatial features can be observed from the high resolution of newly available spaceborne and airborne SAR images. Heterogeneous clutter models should be used to model the covariance matrix because each resolution cell ...
Bombrun, Lionel, Fallourd, Renaud, Gay, Michel, Harant, Olivier, Trouvé, Emmanuel, Tupin, Florence   +5 more
core   +3 more sources

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

An Assessment of SAOCOM L-Band PolInSAR Capabilities for Canopy Height Estimation: A Case Study Over Managed Forests in Argentina

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
This work presents the first results of canopy height mapping with L-Band SAOCOM data by means of Polarimetric SAR Interferometry (PolInSAR). For this study case, a colocated temporal series of SAOCOM fully polarimetric images covering the year 2021 was ...
Santiago Seppi, Carlos Lopez-Martinez, Marisa Jacqueline Joseau   +2 more
doaj   +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

Features of Point Clouds Synthesized from Multi-View ALOS/PRISM Data and Comparisons with LiDAR Data in Forested Areas [PDF]

LiDAR waveform data from airborne LiDAR scanners (ALS) e.g. the Land Vegetation and Ice Sensor (LVIS) havebeen successfully used for estimation of forest height and biomass at local scales and have become the preferredremote sensing dataset.
Ni, Wenjian, Ranson, Kenneth Jon, Sun, Guoqing, Zhang, Zhiyu   +3 more
core   +1 more source

Sub-Canopy Topography Estimation from TanDEM-X DEM by Fusing ALOS-2 PARSAR-2 InSAR Coherence and GEDI Data. [PDF]

Sensors (Basel), 2020
Tan P, Zhu J, Fu H, Wang C, Liu Z, Zhang C.   +5 more
europepmc   +1 more source

Estimation of tree height from PolInSAR : the effects of vertical structure and temporal decorrelation [PDF]

, 2019
Height values of trees are an important indicator of the health and viabilityof forests. At present, it is the main biophysical parameter observable fromremote sensing images, in particular from Polarimetric Interferometric SAR(PolInSAR) data. It is important to have these values as accurately aspossible.
openaire   +1 more source

Integration of Sentinel-1 and Sentinel-2 Data for Land Cover Mapping Using W-Net. [PDF]

Sensors (Basel), 2020
Gargiulo M, Dell'Aglio DAG, Iodice A, Riccio D, Ruello G.   +4 more
europepmc   +1 more source