Classification Analysis of Industrial Buildings Using Orthophoto and NDSM Data with Deep Learning Approach (Case Study: Kali Rungkut Village, Surabaya)
Muhammad Anis Raihan,
Reza Fuad Rachmadi,
Alfian Bimanjaya
et al.
Abstract:Information of industrial estates is important because it may increase the economy level, industrial goods production, and export activities. In addition, information of industrial areas needs to be identified so that the area does not interfere with agricultural productivity, natural resources, and cultural heritage. To obtain this information, extraction and classification of building footprints using orthophoto data with a deep learning approach is carried out. However, this has the challenge that the condi… Show more
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