JJEM: Special Edition 2 (December 2024)
JJEM: Special Edition 2 (December 2024)
2024-12-08
Enhancing Mountain Detection using CNN.
Kavya S, Adarsh M J
The forming of photographs into some type of collective is going to depend on all sorts of factors. Apparently, there is desire of getting useful information or achieving good result from multisource data for the enhanced Earth exploration if there is the list of sources of mountain classification data in the Earth exploration community. For identification purposes, a categorization method known as Mountain Classification Image (MCI) has for many years been in use in the field of application. Overall to achieve, different mountain acquisition pictures, requires different multiple classifiers. Target identification over lodgments is vital irrespective of whether it is being used by the military or civilian personnel. In a nutshell, in this article we shall discuss the main steps of the advanced methods that can be adopted to enhance the classification accuracy. As it will be seen in the result section it is evident to represent how this convolutional neural network excels epoch Gathering & Preprocessing data conventional classification technique.
CNNs, Naive Bayes, feature extraction & imagery for categorizing mountains