INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Land Cover classification in remotely sensed data based on Deep Convolutional Neural Network
Authors Name:
Dr.R.Ablin
, Er.G.Prabin
Unique Id:
IJSDR2305316
Published In:
Volume 8 Issue 5, May-2023
Abstract:
Land Cover classification in image processing is the task of classifying pixels whose spectral characteristics are similar and allocating them to the designated classification classes such as forests, grassland, wetlands and build-up areas. With the development of remote sensing technology and accuracy, the application of land cover images has become more widely spread. Many methods have achieved good classification results in the classification of land cover images. This paper discusses the issues and prospect by the combined effect of various methods and reviews the classification methods of remotely sensed images in statistical methods and recent machine learning methods.
Keywords:
Image, Classification, Support Vector Machine, Deep learning, Remote sensing, Deep Convolutional Neural Network
Cite Article:
"Land Cover classification in remotely sensed data based on Deep Convolutional Neural Network", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.1998 - 2003, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305316.pdf
Downloads:
000337070
Publication Details:
Published Paper ID: IJSDR2305316
Registration ID:206809
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier): https://doi.org/10.5281/zenodo.10445355
Page No: 1998 - 2003
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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