Hyperspectral Imaging
Hyperspectral imaging captures images at hundreds of contiguous narrow spectral bands, providing a detailed spectral signature for each pixel in the image. This high spectral resolution enables precise identification and classification of materials based on their unique spectral fingerprints.
What is Spectral imaging in Image processing?
Spectral imaging is method that captures and analyzes images across a range of wavelengths in the electromagnetic spectrum. In this article, we’ll uncover the underlying principles of spectral imaging and examine its broad-ranging applications across different sectors.
Table of Content
- Principles of Spectral Imaging
- Types of Spectral Imaging in Image Processing
- Multispectral Imaging
- Hyperspectral Imaging
- Applications of Spatial Imaging
While conventional imaging focuses solely on the light intensity at one wavelength, spectral imaging gathers spectral information for every pixel in the image. This capability allows for the retrieval of crucial details about the composition, structure, and characteristics of the subjects in the images.
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