What is hyperspectral image in remote sensing?

Hyperspectral imaging is a growing area in remote sensing in which an imaging spectrometer collects hundreds of images at different wavelengths for the same spatial area (Gonzalez et al., 2013).

What is hyperspectral imagery used for?

Hyperspectral imaging, like other spectral imaging, collects and processes information from across the electromagnetic spectrum. The goal of hyperspectral imaging is to obtain the spectrum for each pixel in the image of a scene, with the purpose of finding objects, identifying materials, or detecting processes.

What is the difference between hyperspectral and multispectral images?

The main difference between multispectral and hyperspectral is the number of bands and how narrow the bands are. Multispectral imagery generally refers to 3 to 10 bands. Hyperspectral imagery consists of much narrower bands (10-20 nm). A hyperspectral image could have hundreds or thousands of bands.

What are the characteristics of hyperspectral image?

The imaging spectrometer can image in many continuous and very narrow bands, so each pixel in the used wavelength range can get a fully reflected or emitted spectrum. Therefore, hyperspectral images have the characteristics of high spectral resolution, many bands, and abundant information.

How is hyperspectral imaging used in remote sensing?

Hyperspectral imaging can gather a visual representation of the range of spectral signatures and put them in a practical form. Typically, each image taken shows one band of the electromagnetic spectrum, and the images are put together to from a three dimensional model.

What is the definition of multispectral remote sensing?

September 2009: S2-S4.) Multispectral remote sensing involves the acquisition of visible, near infrared, and short-wave infrared images in several broad wavelength bands. Different materials reflect and absorb differently at different wavelengths.

What is the introduction to hyperspectral image analysis?

Introduction to Hyperspectral Image Analysis Peg Shippert, Ph.D. Earth Science Applications Specialist Research Systems, Inc. Background The most significant recent breakthrough in remote sensing has been the development of hyperspectral sensors and software to analyze the resulting image data.

How big is the resolution of a hyperspectral sensor?

Hyperspectral sensors collect data across a wide range of the spectrum (VNIR-LWIR, plus TIR) at small spectral resolution (5-15 nm) and high spatial resolution (1-5 m).