Application and Analysis of Hyperspectal Imaging

Hyperspectral imaging is an incline approach in far off sensing that excavates its application in many special regions, consisting of agriculture, mapping, goal detection, meals best tracking etc. This approach offers the capability to remotely become aware of the composition of each pixel of the photograph. This work discusses capturing of hyperspectral images using image spectrometer, applications in various fields, its data analysis technique. Data analysis methods for the detection of materials with spectral signatures are broadly classified into three types: whole pixel, sub-pixel and matched filtering methods. This review gives a brief introduction about these methods following instances of the three types of methods.