Can I read Land Use and Land Cover Mapping of Landsat Image using Segmentation Techniques on EtoBox?

Land Use and Land Cover Mapping of Landsat Image using Segmentation Techniques by M. Mohith; R. Karthi is a book available to read on EtoBox.

What is Land Use and Land Cover Mapping of Landsat Image using Segmentation Techniques about?

Land cover data refer to surface cover on the ground for a region like forests, wetlands, grass cover, bare land, and water types. Land use refers to how humans use the land for different purposes agriculture, wildlife habitat, built-up area, water reservoir, etc. Land use land cover (LULC) can be determined by analyzing satellite and aerial images. The Landsat program provides us access medium resolution images with a resolution of 30 m per pixel. In this work, Landsat 8 satellite images are used to determine land use land cover using deep learning-based segmentation techniques. Deep learning is a neural network-based machine learning technique that is used for image recognition [1], classification, and image segmentation [2]. Machine learning and deep learning models are used in different areas of research like biological cell analysis, movement analysis [3], scene detection, remote sensing [4], speech recognition, and many more applications. Recent studies indicate that image segmentation performed by convolutional neural networks is effective compared to the legacy image segmentation techniques [5]. Rithin et al. [6] proposed machine learning algorithms using decision trees, ra

Author

M. Mohith; R. Karthi

Publisher

Springer Singapore Pte. Limited; Springer

Published

2022

Language

EN

ISBN

9789811921773

Subjects

Management, Engineering, Mathematics