高光谱成像
计算机科学
人工智能
化学成像
深度学习
模式识别(心理学)
光谱成像
作者
Muhammad Mateen,Junhao Wen,Nasrullah,Muhammad Azeem Akbar
出处
期刊:International Journal of Advanced Computer Science and Applications
[The Science and Information Organization]
日期:2018-01-01
卷期号:9 (8)
被引量:5
标识
DOI:10.14569/ijacsa.2018.090808
摘要
Optical analysis techniques are used recently to detect and identify the objects from a large scale of images. Hyperspectral imaging technique is also one of them. Vision of human eye is based on three basic color (red, green and blue) bands, but spectral imaging divides the vision into many more bands. Hyperspectral remote sensors achieve imagery data in the form of hundreds of adjoining spectral bands. In this paper, our purpose is to illustrate the fundamental concept, hyperspectral remote sensing, remotely sensed information, methods for hyperspectral imaging and applications based on hyperspectral imaging. Moreover, in the forensic context, the novel methods involving deep neural networks are elaborated in this paper. The proposed idea can be useful for further research in the field of hyperspectral imaging using deep learning.
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