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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.
What is pixel based classification?
Object-based or object-oriented classification uses both spectral and spatial information for classification. While pixel based classification is based solely on the spectral information in each pixel, object-based classification is based on information from a set of similar pixels called objects or image objects.
What is a supervised classification?
Supervised classification is the technique most often used for the quantitative analysis of remote sensing image data. At its core is the concept of segmenting the spectral domain into regions that can be associated with the ground cover classes of interest to a particular application.
What is image classification in GIS?
Image classification refers to the task of extracting information classes from a multiband raster image. The resulting raster from image classification can be used to create thematic maps. The recommended way to perform classification and multivariate analysis is through the Image Classification toolbar.
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.
What do you mean by image classification?
Image classification refers to the task of extracting information classes from a multiband raster image. The resulting raster from image classification can be used to create thematic maps. The recommended way to perform classification and multivariate analysis is through the Image Classification toolbar.
What is meant by classification in image processing?
Image classification refers to a process in computer vision that can classify an image according to its visual content. A clustering algorithm such as k-means then generates a set of centroid features that can serve as a set of visual words for the image.
What is image classification used for?
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.
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