Spatial Resolution Improvement of a Low Spatial Resolution Thermal Infrared Image by Backpropagated Neural Networks
Summary :
Recent progress in neural network research has demonstrated the usefulness of neural networks in a variety of areas. In this work, its application in the spatial resolution improvement of a remotely sensed low resolution thermal infrared image using high spatial resolution of visible and near-infrared images from Landsat TM sensor is described. The same work is done by an algebraic method. The tests developed are explained and examples of the results obtained in each test are shown and compared with each other. The error analysis is also carried out. Future improvements of these methods are evaluated.
- Publication
- IEICE TRANSACTIONS on Information Vol.E81-D No.8 pp.872-880
- Publication Date
- 1998/08/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Category
- Image Processing,Computer Graphics and Pattern Recognition
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Maria del Carmen VALDES, Minoru INAMURA, "Spatial Resolution Improvement of a Low Spatial Resolution Thermal Infrared Image by Backpropagated Neural Networks" in IEICE TRANSACTIONS on Information,
vol. E81-D, no. 8, pp. 872-880, August 1998, doi: .
Abstract: Recent progress in neural network research has demonstrated the usefulness of neural networks in a variety of areas. In this work, its application in the spatial resolution improvement of a remotely sensed low resolution thermal infrared image using high spatial resolution of visible and near-infrared images from Landsat TM sensor is described. The same work is done by an algebraic method. The tests developed are explained and examples of the results obtained in each test are shown and compared with each other. The error analysis is also carried out. Future improvements of these methods are evaluated.
URL: https://global.ieice.org/en_transactions/information/10.1587/e81-d_8_872/_p
Copy
@ARTICLE{e81-d_8_872,
author={Maria del Carmen VALDES, Minoru INAMURA, },
journal={IEICE TRANSACTIONS on Information},
title={Spatial Resolution Improvement of a Low Spatial Resolution Thermal Infrared Image by Backpropagated Neural Networks},
year={1998},
volume={E81-D},
number={8},
pages={872-880},
abstract={Recent progress in neural network research has demonstrated the usefulness of neural networks in a variety of areas. In this work, its application in the spatial resolution improvement of a remotely sensed low resolution thermal infrared image using high spatial resolution of visible and near-infrared images from Landsat TM sensor is described. The same work is done by an algebraic method. The tests developed are explained and examples of the results obtained in each test are shown and compared with each other. The error analysis is also carried out. Future improvements of these methods are evaluated.},
keywords={},
doi={},
ISSN={},
month={August},}
Copy
TY - JOUR
TI - Spatial Resolution Improvement of a Low Spatial Resolution Thermal Infrared Image by Backpropagated Neural Networks
T2 - IEICE TRANSACTIONS on Information
SP - 872
EP - 880
AU - Maria del Carmen VALDES
AU - Minoru INAMURA
PY - 1998
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E81-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 1998
AB - Recent progress in neural network research has demonstrated the usefulness of neural networks in a variety of areas. In this work, its application in the spatial resolution improvement of a remotely sensed low resolution thermal infrared image using high spatial resolution of visible and near-infrared images from Landsat TM sensor is described. The same work is done by an algebraic method. The tests developed are explained and examples of the results obtained in each test are shown and compared with each other. The error analysis is also carried out. Future improvements of these methods are evaluated.
ER -
English
