Automated Processing of Remote Sensing Imagery Using Deep Semantic Segmentation: A Building Footprint Extraction Case

Automated Processing of Remote Sensing Imagery Using Deep Semantic Segmentation: A Building Footprint Extraction Case

The proliferation of high-resolution remote sensing sensors and platforms imposes the need for effective analyses and automated processing of high volumes of aerial imagery. The recent advance of artificial intelligence (AI) in the form of deep learning (DL) and convolutional neural networks (CNN) s...

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Bibliographic Details
Main Author: Aleksandar Milosavljević
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:ISPRS International Journal of Geo-Information
Subjects:
remote sensing imagery
deep learning
semantic segmentation
building extraction
convolutional neural networks
Online Access:https://www.mdpi.com/2220-9964/9/8/486

Internet

https://www.mdpi.com/2220-9964/9/8/486

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