Satellite Image Analysis for Poverty Prediction

ISBN-13: 9786206736936 / Angielski / Miękka / 52 str.

T. Swapna

Opis

High-resolution satellite imagery is increasingly available globally and contains abundant information about landscape features that could be correlated with economic activity. Unfortunately, such data are highly unstructured and thus challenging to extract meaningful insights from at scale, even with intensive manual analysis. Recent applications of deep learning techniques to large-scale image data sets have led to marked improvements in fundamental computer vision tasks such as object detection and classification, but these techniques are generally the most effective in supervised learning.

O autorze

T. Swapna, M.Tech from JNTUH Working as an Assistant Professor at G Narayanamma Institute of Technology and Science has 20 years of teaching experience. My research areas include deep learning and image processing published 10 research papers in various international journals and conferences.