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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Vydané v:	ISPRS journal of photogrammetry and remote sensing Ročník 149; s. 50 - 66
Hlavní autori:	Amirkolaee, Hamed Amini, Arefi, Hossein
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.03.2019
Predmet:	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
On-line prístup:	Získať plný text
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