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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Veröffentlicht in:	Remote sensing (Basel, Switzerland) Jg. 13; H. 17; S. 3363
Hauptverfasser:	Verma, Deepank, Mumm, Olaf, Carlow, Vanessa Miriam
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.09.2021
Schlagworte:	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-Zugang:	Volltext
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