Identifying Streetscape Features Using VHR Imagery and Deep Learning Applications

Deep Learning (DL) based identification and detection of elements in urban spaces through Earth Observation (EO) datasets have been widely researched and discussed. Such studies have developed state-of-the-art methods to map urban features like building footprint or roads in detail. This study delve...

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Bibliographic Details
Published in:	Remote sensing (Basel, Switzerland) Vol. 13; no. 17; p. 3363
Main Authors:	Verma, Deepank, Mumm, Olaf, Carlow, Vanessa Miriam
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.09.2021
Subjects:	Algorithms Braunschweig Buildings Computer vision Corridors data collection Datasets Deep Learning Identification methods Image segmentation Infrastructure Machine learning Neural networks object detection Object recognition Remote sensing road detection Roads & highways semantic segmentation spatial data State-of-the-art reviews streetscape Training Urban areas vegetation
ISSN:	2072-4292, 2072-4292
Online Access:	Get full text
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