Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/19392
Title: Detecting underground structures in vegetation indices time series using histograms
Authors: Melillos, George 
Hadjimitsis, Diofantos G. 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: EVI;Field Spectroscopy;Histograms;NDVI;Remote sensing;RVI;SR;Vegetation indices
Issue Date: 24-Apr-2020
Source: Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXV, 27 April - 8 May 2020, United States
Conference: Detection and Sensing of Mines, Explosive Objects, and Obscured Targets 
Abstract: This paper focuses results obtained from a field spectroscopy campaigns for detecting underground structures. A number of vegetation indices such as the Normalized Difference Vegetation Index (NDVI), Simple Ratio (SR), Enhanced Vegetation Index (EVI) and Ratio Vegetation Index (RVI) were utilized for the development of a vegetation index-based procedure aiming at the detection of underground military structures by using existing vegetation indices. The measurements were taken at the following test areas such as: (a) vegetation area covered with the vegetation (barley), in the presence of an underground military structure (b) vegetation area covered with the vegetation (barley), in the absence of an underground military structure. For this purpose was using histograms to obtain useful information about Vegetation Indices spectral behaviours and to compare the two testing areas.
URI: https://hdl.handle.net/20.500.14279/19392
ISBN: 978-151063613-2
DOI: 10.1117/12.2557889
Rights: © SPIE.
Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Conference Papers
Affiliation : Cyprus University of Technology 
ERATOSTHENES Centre of Excellence 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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