What is meant by classification of image?
Also know, what is the purpose of image classification?
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.
Furthermore, what is object based classification? Object-based Classification. Object-based or object oriented classification involves categorization of pixels based on the spatial relationship with the surrounding pixels Object based classification methods were developed relatively recently compared to traditional pixel based classification techniques.
Thereof, what is image classification in remote sensing?
In a broad sense, image classification is defined as the process of categorizing all pixels in an image or raw remotely sensed satellite data to obtain a given set of labels or land cover themes (Lillesand, Keifer 1994).
What is parallelepiped classification?
The parallelepiped classifier is one of the widely used supervised classification algorithms for multispectral images. The threshold of each spectral (class) signature is defined in the training data, which is to determine whether a given pixel within the class or not.