Multispectral segmentation

From WikiMD.org
Jump to navigation Jump to search

Multispectral Segmentation

Multispectral segmentation (pronunciation: mul-ti-spec-tral seg-men-ta-tion) is a process used in image processing and remote sensing to divide an image into multiple segments, or sets of pixels, based on spectral characteristics across multiple wavelengths.

Etymology

The term "multispectral" is derived from the Latin "multus" meaning "many" and the Latin "spectrum" meaning "appearance" or "image". The term "segmentation" comes from the Latin "segmentum" meaning "a piece cut off", or "section".

Definition

In the context of image processing, multispectral segmentation is a technique that uses multiple spectral bands (wavelengths) of light to divide an image into segments. Each segment represents a specific feature or object within the image. This technique is particularly useful in remote sensing applications, where it is used to identify and classify different features on the Earth's surface, such as vegetation, water bodies, and man-made structures.

Process

The process of multispectral segmentation involves several steps. First, the image is acquired using a multispectral sensor, which captures data at different wavelengths. Next, the image is preprocessed to remove noise and enhance the quality of the data. The image is then segmented using a segmentation algorithm, which groups pixels together based on their spectral characteristics. Finally, the segmented image is classified, with each segment being assigned to a specific class or category based on its spectral properties.

Related Terms

  • Image Processing: The manipulation of an image to enhance it or extract information.
  • Remote Sensing: The acquisition of information about an object or phenomenon without making physical contact with the object.
  • Segmentation Algorithm: A method used to divide an image into segments.
  • Spectral Bands: Specific ranges of wavelengths in the electromagnetic spectrum.
  • Spectral Characteristics: The properties of an object or material as observed across different wavelengths.

External links

Esculaap.svg

This WikiMD article is a stub. You can help make it a full article.


Languages: - East Asian 中文, 日本, 한국어, South Asian हिन्दी, Urdu, বাংলা, తెలుగు, தமிழ், ಕನ್ನಡ,
Southeast Asian Indonesian, Vietnamese, Thai, မြန်မာဘာသာ, European español, Deutsch, français, русский, português do Brasil, Italian, polski