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 |
CORE Recommender
SCOPUSTM
Citations
50
1
checked on Nov 6, 2023
Page view(s) 50
330
Last Week
0
0
Last month
7
7
checked on Aug 28, 2024
Google ScholarTM
Check
Altmetric
This item is licensed under a Creative Commons License