Classification of multitemporal SAR images using convolutional neural networks and Markov random fields

C. Danilla; C. Persello; Valentyn Tolpekin; J. R. Bergado

doi:10.1109/IGARSS.2017.8127432

Classification of multitemporal SAR images using convolutional neural networks and Markov random fields

C. Danilla, C. Persello, Valentyn Tolpekin, J. R. Bergado

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

Original language	English
Title of host publication	2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Subtitle of host publication	23-28 Jly 2017, Fort Worth Texas, USA
Publisher	IEEE
Pages	2231-2234
Number of pages	4
ISBN (Electronic)	978-1-5090-4951-6
DOIs	https://doi.org/10.1109/IGARSS.2017.8127432
Publication status	Published - 1 Jul 2017
Event	37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth Convention Center, Fort Worth, United States Duration: 23 Jul 2017 → 28 Jul 2017 Conference number: 37

Conference

Conference	37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Abbreviated title	IGARSS 2017
Country/Territory	United States
City	Fort Worth
Period	23/07/17 → 28/07/17

Keywords

Markov processes
geophysical image processing
image classification
learning (artificial intelligence)
neural nets
radar imaging
remote sensing by radar
synthetic aperture radar
terrain mapping
Flevoland
Markov Random Fields
Markov random fields
Sentinel-1 images
The Netherlands
agricultural field mapping
classification accuracy
classification system
complex task
convolutional neural networks
extract spatial-contextual features
land-cover map
multitemporal SAR images
multitemporal series
post-classification label
scattering mechanism
spatial filters
spatial-contextual features
speckle noise
strong noise
synthetic aperture radar images
texture mechanism
Classification algorithms
Feature extraction
Filtering
Radio frequency
Speckle
Support vector machines
Synthetic aperture radar
Convolutional neural networks
Sentinel-1
speckle filtering

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10.1109/IGARSS.2017.8127432

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title = "Classification of multitemporal SAR images using convolutional neural networks and Markov random fields",

keywords = "Markov processes, geophysical image processing, image classification, learning (artificial intelligence), neural nets, radar imaging, remote sensing by radar, synthetic aperture radar, terrain mapping, Flevoland, Markov Random Fields, Markov random fields, Sentinel-1 images, The Netherlands, agricultural field mapping, classification accuracy, classification system, complex task, convolutional neural networks, extract spatial-contextual features, land-cover map, multitemporal SAR images, multitemporal series, post-classification label, scattering mechanism, spatial filters, spatial-contextual features, speckle noise, strong noise, synthetic aperture radar images, texture mechanism, Classification algorithms, Feature extraction, Filtering, Radio frequency, Speckle, Support vector machines, Synthetic aperture radar, Convolutional neural networks, Sentinel-1, speckle filtering",

author = "C. Danilla and C. Persello and Valentyn Tolpekin and Bergado, {J. R.}",

year = "2017",

month = jul,

day = "1",

doi = "10.1109/IGARSS.2017.8127432",

language = "English",

pages = "2231--2234",

booktitle = "2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "IEEE",

address = "United States",

note = "37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017, IGARSS 2017 ; Conference date: 23-07-2017 Through 28-07-2017",

}

Danilla, C, Persello, C, Tolpekin, V & Bergado, JR 2017, Classification of multitemporal SAR images using convolutional neural networks and Markov random fields. in 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): 23-28 Jly 2017, Fort Worth Texas, USA. IEEE, pp. 2231-2234, 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017, Fort Worth, Texas, United States, 23/07/17. https://doi.org/10.1109/IGARSS.2017.8127432

Classification of multitemporal SAR images using convolutional neural networks and Markov random fields. / Danilla, C.; Persello, C.; Tolpekin, Valentyn et al.
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): 23-28 Jly 2017, Fort Worth Texas, USA. IEEE, 2017. p. 2231-2234.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

TY - CHAP

T1 - Classification of multitemporal SAR images using convolutional neural networks and Markov random fields

AU - Danilla, C.

AU - Persello, C.

AU - Tolpekin, Valentyn

AU - Bergado, J. R.

N1 - Conference code: 37

PY - 2017/7/1

Y1 - 2017/7/1

KW - Markov processes

KW - geophysical image processing

KW - image classification

KW - learning (artificial intelligence)

KW - neural nets

KW - radar imaging

KW - remote sensing by radar

KW - synthetic aperture radar

KW - terrain mapping

KW - Flevoland

KW - Markov Random Fields

KW - Markov random fields

KW - Sentinel-1 images

KW - The Netherlands

KW - agricultural field mapping

KW - classification accuracy

KW - classification system

KW - complex task

KW - convolutional neural networks

KW - extract spatial-contextual features

KW - land-cover map

KW - multitemporal SAR images

KW - multitemporal series

KW - post-classification label

KW - scattering mechanism

KW - spatial filters

KW - spatial-contextual features

KW - speckle noise

KW - strong noise

KW - synthetic aperture radar images

KW - texture mechanism

KW - Classification algorithms

KW - Feature extraction

KW - Filtering

KW - Radio frequency

KW - Speckle

KW - Support vector machines

KW - Synthetic aperture radar

KW - Convolutional neural networks

KW - Sentinel-1

KW - speckle filtering

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UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2017/chap/persello_cla.pdf

U2 - 10.1109/IGARSS.2017.8127432

DO - 10.1109/IGARSS.2017.8127432

M3 - Chapter

SP - 2231

EP - 2234

BT - 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

PB - IEEE

T2 - 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017

Y2 - 23 July 2017 through 28 July 2017

ER -

Classification of multitemporal SAR images using convolutional neural networks and Markov random fields

Conference

Keywords

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