Algorithm and code for analyzing hyperspectral images using the Hurst exponent
Journal Title: INCAS BULLETIN - Year 2014, Vol 6, Issue 3
Abstract
The main goal of this paper is to present the implementation of an algorithm developed to calculate the Hurst exponent (H), applied here to characterize the pixel spectrum from hyperspectral image. Because a hyperspectral reflectance curve from each pixel may be regarded as a chaotic series that fact inspires us to treat a spectrum as a time series. Hyperspectral data are typical heteroscedastic variables, which makes it inappropriate to apply the normal/classic time series analysis, such as the autoregressive-integrated-moving-average model. Generally, the Hurst exponent is a measure used in nonlinear time series analysis to reveal local trend of series among adjacent successive terms. H can describe the local change in the ratio between the ranges of accumulated mean-removed values to the original standard deviation and thus represents the diversity of spectral values. Although H may be used to characterize regions of the image regarding persistence or antipersistence spectrum (highlighting noisy data), it does not directly address the separation between the classes of interest. The algorithm uses the rescaled range analysis method. This method introduces a measure of the variability of a time series using a ratio range/standard deviation (R/S). The algorithm was tested on hyperspectral data with spectra of various lengths and with persistence or antipersistence spectrum.
Authors and Affiliations
APOSTOLESCU Nicolae, BARAN Daniela
Keywords
Related Articles
- EP ID EP147602
- DOI 10.13111/2066-8201.2014.6.3.1
- Views 96
- Downloads 0
A short bibliographic report on Small UAV design
This article presents a detailed example for the design of all aspects of a prototype unmanned aerial vehicle, also dealing with the use of multi-segmented flight control surfaces of these UAV’s wings. Adding multiple se...
The design and manufacture of a remotely piloted aircraft
The article is a compilation of data regarding the process of designing an UAV wing, generally speaking, and an iteration of the stress calculations made during the research. Therefore, we use the best materials and a de...
Regression Models for Predicting Force Coefficients of Aerofoils
Renewable sources of energy are attractive and advantageous in a lot of different ways. Among the renewable energy sources, wind energy is the fastest growing type. Among wind energy converters, Vertical axis wind turbin...
Nanofilled EPDM composite for aerospace applications
O-rings are designed to be seated in a groove and compressed during assembly between two or more parts, creating a seal at the interface. The joint may be static, or (in a few circumstances) may have relative motion betw...
A Practical Method to Estimate the Aerodynamic Coefficients of a Small-Scale Paramotor
There are few aircraft other than lighter-than-air vehicles that have the payload carrying capability, short field take-off, and slow speed ranges afforded by a powered parafoil. One very interesting aspect of the powere...