Detection of Military Underground Structures through the Remote Sensing Investigation of Phenological Cycle of Crops

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ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.org/journal/ars
E-mail: ars@scirp.org

"Detection of Military Underground Structures through the Remote Sensing Investigation of Phenological Cycle of Crops"
written by George Melillos, Kyriacos Themistocleous, George Papadavid, Diofantos G. Hadjimitsis,
published by Advances in Remote Sensing, Vol.7 No.3, 2018

has been cited by the following article(s):

[1]	Spectral-Spatial Classification of Hyperspectral Image Based on Support Vector Machine
	2021

[2]	Arbitrary-angle bounding box based location for object detection in remote sensing image
	2021

[3]	Using simple ratio (SR) vegetation index to detect deep man-made infrastructures in Cyprus
	2020

[4]	Detecting underground structures in vegetation indices time series using histograms
	2020

[5]	Detection Underground Structures in Cyprus Using Landsat-8 Bands
	2020

[6]	Combined use of remote sensing data and geographic information system techniques for detecting underground structures for defense and security applications in Cyprus
	Proceedings Volume 11012, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIV, 2019

[7]	Evaluation of several vegetation indices to detect deep man-made bunkers using field spectroscopy
	2019

[1]	Arbitrary-angle bounding box based location for object detection in remote sensing image European Journal of Remote Sensing, 2021 DOI:10.1080/22797254.2021.1880975

[2]	Detection Underground Structures in Cyprus Using Landsat-8 Bands IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020 DOI:10.1109/IGARSS39084.2020.9323447

[3]	Combined use of remote sensing data and geographic information system techniques for detecting underground structures for defense and security applications in Cyprus Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIV, 2019 DOI:10.1117/12.2517756

[4]	Evaluation of several vegetation indices to detect deep man-made bunkers using field spectroscopy Target and Background Signatures V, 2019 DOI:10.1117/12.2532462

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