A survey of landmine detection using hyperspectral imaging

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• 作者：Ihab Makki^a ; ^b ; ^{ihab.makki@polito.it} ; Rafic Younes^a ; ^{ryounes@ul.edu.lb} ; Clovis Francis^a ; ^{cfrancis@ul.edu.lb} ; Tiziano Bianchi^b ; ^{tiziano.bianchi@polito.it} ; Massimo Zucchetti^b ; ^{zucchetti@polito.it}
• 关键词：Hyperspectral imaging ; Remote sensing ; Landmine detection ; Target detection ; Image processing
• 刊名：ISPRS Journal of Photogrammetry and Remote Sensing
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：124
• 期：Complete
• 页码：40-53
• 全文大小：447 K
• 卷排序：124

文摘

Hyperspectral imaging is a trending technique in remote sensing that finds its application in many different areas, such as agriculture, mapping, target detection, food quality monitoring, etc. This technique gives the ability to remotely identify the composition of each pixel of the image. Therefore, it is a natural candidate for the purpose of landmine detection, thanks to its inherent safety and fast response time. In this paper, we will present the results of several studies that employed hyperspectral imaging for the purpose of landmine detection, discussing the different signal processing techniques used in this framework for hyperspectral image processing and target detection. Our purpose is to highlight the progresses attained in the detection of landmines using hyperspectral imaging and to identify possible perspectives for future work, in order to achieve a better detection in real-time operation mode.