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RESOLUTION ENHANCEMENT ALGORITHM FOR SPACEBORN SAR BASED ON HANNING FUNCTION WEIGHTED SIDELOBE SUPPRESSION
SAR image Sidelobe suppression Hunning function
2018/5/14
Resolution and sidelobe are mutual restrict for SAR image. Usually sidelobe suppression is based on resolution reduction. This paper provide a method for resolution enchancement using sidelobe opposit...
ALGORITHM AND APPLICATION OF GCP-INDEPENDENT BLOCK ADJUSTMENT FOR SUPER LARGE-SCALE DOMESTIC HIGH RESOLUTION OPTICAL SATELLITE IMAGERY
Rational Function Model (RFM) Virtual Control Points Least-squares Block Adjustment Alternating Direction Method Geometric Constraints of Horizontal and Vertical
2018/5/15
The accurate positioning of optical satellite image without control is the precondition for remote sensing application and small/medium scale mapping in large abroad areas or with large-scale images. ...
A NEW ALGORITHM FOR THE AOD INVERSION FROM NOAA/AVHRR DATA
AVHRR AOD MODIS VI product NDVI DDV algorithm
2018/5/15
The advanced very high resolution radiometer (AVHRR) data from the National Oceanic and Atmospheric Administration satellite is one of the earliest data applied in aerosol research. The dense dark veg...
A THRESHOLD-FREE FILTERING ALGORITHM FOR AIRBORNE LIDAR POINT CLOUDS BASED ON EXPECTATION-MAXIMIZATION
Airborne LiDAR Point clouds Filtering Ground points Expectation-maximization Intensity
2018/5/14
Filtering is a key step for most applications of airborne LiDAR point clouds. Although lots of filtering algorithms have been put forward in recent years, most of them suffer from parameters setting o...
TARGET TRANSFORMATION CONSTRAINED SPARSE UNMIXING (TTCSU) ALGORITHM FOR RETRIEVING HYDROUS MINERALS ON MARS: APPLICATION TO SOUTHWEST MELAS CHASMA
Prior information Sparse unmixing Hydrous minerals Mars CRISM
2018/5/15
Quantitative analysis of hydrated minerals from hyperspectral remote sensing data is fundamental for understanding Martian geologic process. Because of the difficulties for selecting endmembers from h...
A proposal of regionalization for the application of the CN earthquake prediction algorithm to the Italian territory
Earthquake prediction CN algorithm Italy seismotectonic model
2015/9/30
A regionalization of the Italian territory, strictly based on seismotectonic zoning and the main geodynamic features of the Italian area, is proposed for intermediate-term earthquake prediction with C...
A Nonlinear Reconstruction Algorithm from Absolute Value of Frame Coefficients for Low Redundancy Frames
Nonlinear Reconstruction Algorithm Absolute Value of Frame Coefficients Low Redundancy Frames
2015/9/29
In this paper we present a signal reconstruction algorithm from absolute value of frame coefficients that requires arelatively low redundancy. The basic idea is to use a nonlinear embedding of the inp...
An algorithm for doble difference joint hypocenter determination: application to the 2002 Molise (Central Italy) earthquake sequence
Aftershocks Foreshocks Joint Hypocenter Determination
2015/9/7
We have developed an original computer code for double difference hypocenter
determination including an independent routine for the cross-correlation estimate of the time
difference between two wave...
Integrated inversion of ground deformation and magnetic data at Etna volcano using a genetic algorithm technique
ground deformation magnetic anomalies inverse modelling genetic algorithms Mt. Etna
2015/9/2
Geodetic and magnetic investigations have been playing an increasingly important role in studies on Mt. Etna eruptive processes. During ascent, magma interacts with surrounding rocks and fluids, and i...
Earthquake forecast models for Italy based on the RI algorithm
Earthquake interactions and probability Seismic risk Data processing Statistical analysis Seismological data
2015/8/28
This study provides an overview of relative-intensity (RI)-based earthquake forecast models that have been submitted for the 5-year and 10-year testing classes and the 3-month class of the Italian exp...
The Metropolis algorithm is a widely used procedure for sampling
from a specified distribution on a large finite set. We survey what is
rigorously known about running times. This includes work from ...
The Spider Algorithm
Spider Algorithm
2015/8/26
One of the reasons complex analytic dynamics has been such a successful subject is the deep relation that has surfaced between conformal mapping, dynamics and combinatorics. The object of the spider a...
This brief paper introduces an algorithm for smooth interpolation of a
multivariate function. The input data for the algorithm consists of a set of function
values and derivatives up to order r on a...
We propose a sketch-based sampling algorithm, which effectively exploits the data sparsity. Sampling methods have become popular in large-scale data mining and information retrieval, where high data s...
L1-regularization path algorithm for generalized linear models
Generalized linear model Lasso Path algorithm Predictor–corrector method Regularization Variable selection
2015/8/21
We introduce a path following algorithm for L1-regularized generalized linear models. The L 1-regularization procedure is useful especially because it, in effect, selects variables according to the am...