Height estimation from single aerial images using a deep convolutional encoder-decoder network

Extracting 3D information from aerial images is an important and still challenging topic in photogrammetry and remote sensing. Height estimation from only a single aerial image is an ambiguous and ill-posed problem. To address this challenging problem, in this paper, an architecture based on a deep...

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Bibliographic Details
Published in:	ISPRS journal of photogrammetry and remote sensing Vol. 149; pp. 50 - 66
Main Authors:	Amirkolaee, Hamed Amini, Arefi, Hossein
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.03.2019
Subjects:	aerial photography Convolutional neural network data collection Decoder Digital aerial image Encoder Height image image analysis neural networks photogrammetry quantitative analysis remote sensing Height image Digital aerial image Decoder Convolutional neural network Encoder
ISSN:	0924-2716, 1872-8235
Online Access:	Get full text
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