What is meant by image classification?

Image classification is the process of categorizing and labeling groups of pixels or vectors within an image based on specific rules. The categorization law can be devised using one or more spectral or textural characteristics. Two general methods of classification are ‘supervised’ and ‘unsupervised’.

What is classification in image processing?

Image classification refers to the task of extracting information classes from a multiband raster image. The classification process is a multi-step workflow, therefore, the Image Classification toolbar has been developed to provided an integrated environment to perform classifications with the tools.

What is classification in digital image processing?

Digital image classification uses the spectral information represented by the digital numbers in one or more spectral bands, and attempts to classify each individual pixel based on this spectral information. This type of classification is termed spectral pattern recognition.

What is classification and how is it used in remote sensing of land cover?

Digital image classification is the process of assigning a pixel (or groups of pixels) of remote sensing image to a land cover class. The objective is to classify each pixel into only one class (crisp or hard classification) or to associate the pixel with many classes (fuzzy or soft classification).

What is the purpose of image classification in remote sensing?

The objective of image classification is to identify and portray, as a unique gray level (or color), the features occurring in an image in terms of the object or type of land cover these features actually represent on the ground. Image classification is perhaps the most important part of digital image analysis.

What is image classification remote sensing?

What is Image Classification in Remote Sensing? Image classification is the process of assigning land cover classes to pixels. For example, classes include water, urban, forest, agriculture, and grassland.

What is land classification?

Land classification refers to land categories, reflecting quality classes, capability classes or grade, depending upon the characteristics of the land and/or its potential for agricultural use.

How do we classify land cover?

Simply put, land cover is what covers the surface of the earth and land use describes how the land is used. Examples of land cover classes include: water, snow, grassland, deciduous forest, and bare soil. Land use examples include: wildlife management area, agricultural land, urban, and recreation area.

Why is classification used?

Classification is a data-mining technique that assigns categories to a collection of data to aid in more accurate predictions and analysis. Classification is one of several methods intended to make the analysis of very large datasets effective.