Adapted bucolic and farming region pattern classification using artificial neural networks for remote sensing images
by P.S. Jagadeesh Kumar; Tracy Lin Huan
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 25, No. 1/2, 2023

Abstract: This paper explicates the utilisation of multi-layer perceptron neural networks-based procedural for the classification of bucolic and farming regions of remotely sensed images. In this paper, spectral remote sensing images were apprehended in rural and agricultural taxonomy. Cumulative histograms, voronoi tessellation, spatial pixel matrix extorted from the geographical information system were used for the training of the dataset as endowment to the multi-layer perceptron neural networks. The obstinacy of image texture features using voronoi tessellation was prompted to be principal for aerial image pattern classification of bucolic and farming regions.

Online publication date: Thu, 11-May-2023

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Advanced Intelligence Paradigms (IJAIP):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com