Spatial Resolution Improvement of a Low Spatial Resolution Thermal Infrared Image by Backpropagated Neural Networks

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概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 1998-08-25

著者

• Valdes M

  Gunma Univ.

• Inamura M

  Gunma Univ. Kiryu‐shi Jpn

• Inamura Minoru

  Department Of Electronic Engineering Gunma University

• VALDES Maria

  Department of Electronic Engineering, Gunma University

関連論文

• Super-Resolution Image Pyramid (Image Processing, Image Pattern Recognition)
• Super-Resolution of Undersampled and Subpixel Shifted Image Sequence by Pyramid Iterative Back-Projection(Regular Section)
• Spatial Resolution Improvement of a Low Spatial Resolution Thermal Infrared Image by Backpropagated Neural Networks

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