Robust landmine detection from thermal image time series using Hough transform and rotationally invariant features

2019 ◽  
Vol 41 (2) ◽  
pp. 725-739
Author(s):  
Serkan Kaya ◽  
Ugur Murat Leloglu ◽  
Gulsah Tumuklu Ozyer
Keyword(s):  
Time Series ◽  
Hough Transform ◽  
Thermal Image ◽  
Landmine Detection ◽  
Invariant Features ◽  
Rotationally Invariant

scholarly journals Time-Warping Invariants of Multidimensional Time Series

2020 ◽  
Vol 170 (1) ◽  
pp. 265-290
Author(s):  
Joscha Diehl ◽  
Kurusch Ebrahimi-Fard ◽  
Nikolas Tapia
Keyword(s):  
Time Series ◽  
Data Science ◽  
Time Warping ◽  
Quasisymmetric Functions ◽  
Basic Properties ◽  
Invariance Properties ◽  
Invariant Features ◽  
Multidimensional Time Series ◽  
Algebraic Framework ◽  
Influence Of Noise

Abstract In data science, one is often confronted with a time series representing measurements of some quantity of interest. Usually, in a first step, features of the time series need to be extracted. These are numerical quantities that aim to succinctly describe the data and to dampen the influence of noise. In some applications, these features are also required to satisfy some invariance properties. In this paper, we concentrate on time-warping invariants. We show that these correspond to a certain family of iterated sums of the increments of the time series, known as quasisymmetric functions in the mathematics literature. We present these invariant features in an algebraic framework, and we develop some of their basic properties.

Detecting Center Pivots In Matopiba Using Hough Transform And Web Time Series Service

2020 ◽  
Author(s):  
M. L. Rodrigues ◽  
T. S. Korting ◽  
G. R. de Queiroz ◽  
C. P. Sales ◽  
L. A. R. da Silva
Keyword(s):  
Time Series ◽  
Hough Transform

scholarly journals DETECTING CENTER PIVOTS IN MATOPIBA USING HOUGH TRANSFORM AND WEB TIME SERIES SERVICE

2020 ◽  
Vol XLII-3/W12-2020 ◽  
pp. 73-78
Author(s):  
M. L. Rodrigues ◽  
T. S. Körting ◽  
G. R. de Queiroz ◽  
C. P. Sales ◽  
L. A. R. da Silva
Keyword(s):  
Time Series ◽  
Hough Transform ◽  
Vegetation Indices ◽  
Landsat 8 ◽  
Small Areas ◽  
Detection Techniques ◽  
Center Pivot ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer

Abstract. In the last decades, the Brazilian Cerrado biome has undergone major transformations due to the expansion of the agricultural frontier. The region called MATOPIBA acronym for states Maranhão, Tocantins, Piauí, and Bahia can be considered very attractive for agricultural expansion. The Cerrado predominates in the MATOPIBA region (91% of the area), also having small areas of the Amazon and Caatinga biomes to the northeast and east, respectively. In this work, we will present a study to identify center pivot irrigation systems in the MATOPIBA region using remote sensing images from Landsat-8 satellite. The methodology is based on the use of robust edge detection techniques such as Canny, Circular Hough Transform (CHT) and time series extraction through the Moderate Resolution Imaging Spectroradiometer (MODIS) product MOD13Q1 which has two vegetation indices NDVI and EVI. These time series will be used to filter the detected circles, seeking to eliminate the circles that do not correspond to center pivots. Our approach detected 80% of the center pivots mapped by the Brazilian National Water Agency (ANA) used as a knowledge base. The states with better detection were Piauí and Bahia that showed the accuracy of 90% and 85% respectively, Maranhão obtained 57% and Tocantins 41%.

The LDE-Type Flare Occurrence (1969-1993)

1994 ◽  
Vol 144 ◽  
pp. 279-282
Author(s):  
A. Antalová
Keyword(s):  
Time Series ◽  
Fourier Analysis ◽  
Sunspot Cycle ◽  
List Type ◽  
Type Number ◽  
Solar Cycles ◽  
Type Iv ◽  
Long Duration ◽  
Cycle Maximum ◽  
Flare Index

AbstractThe occurrence of LDE-type flares in the last three cycles has been investigated. The Fourier analysis spectrum was calculated for the time series of the LDE-type flare occurrence during the 20-th, the 21-st and the rising part of the 22-nd cycle. LDE-type flares (Long Duration Events in SXR) are associated with the interplanetary protons (SEP and STIP as well), energized coronal archs and radio type IV emission. Generally, in all the cycles considered, LDE-type flares mainly originated during a 6-year interval of the respective cycle (2 years before and 4 years after the sunspot cycle maximum). The following significant periodicities were found:• in the 20-th cycle: 1.4, 2.1, 2.9, 4.0, 10.7 and 54.2 of month,• in the 21-st cycle: 1.2, 1.6, 2.8, 4.9, 7.8 and 44.5 of month,• in the 22-nd cycle, till March 1992: 1.4, 1.8, 2.4, 7.2, 8.7, 11.8 and 29.1 of month,• in all interval (1969-1992):a)the longer periodicities: 232.1, 121.1 (the dominant at 10.1 of year), 80.7, 61.9 and 25.6 of month,b)the shorter periodicities: 4.7, 5.0, 6.8, 7.9, 9.1, 15.8 and 20.4 of month.Fourier analysis of the LDE-type flare index (FI) yields significant peaks at 2.3 - 2.9 months and 4.2 - 4.9 months. These short periodicities correspond remarkably in the all three last solar cycles. The larger periodicities are different in respective cycles.

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