Tensor-based keypoint detection and switching regression model for relative radiometric normalization of bitemporal multispectral images-Reference-Cited by-同舟云学术

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Tensor-based keypoint detection and switching regression model for relative radiometric normalization of bitemporal multispectral images

Published:2022-06-03 Issue:11 Volume:43 Page:3927-3956
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Moghimi Armin¹²^ORCID,Celik Turgay³⁴^ORCID,Mohammadzadeh Ali¹^ORCID

Affiliation:

1. Department of Photogrammetry and Remote Sensing, Geomatics Engineering Faculty, K. N. Toosi University of Technology, Tehran, Iran

2. Department of Civil Engineering and Surveying, Institute of Photogrammetry and GeoInformation (IPI), Leibniz Universität Hannover (LUH), Hannover, Germany

3. School of Electrical and Information Engineering and the Wits Institute of Data Science, University of the Witwatersrand, Johannesburg, South Africa

4. Faculty of Engineering and Science, University of Agder, Kristiansand, Norway

Funder

no funding

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2022.2102951

Reference42 articles.

1. KAZE Features

2. kCCA Transformation-Based Radiometric Normalization of Multi-Temporal Satellite Images

3. SURF: Speeded Up Robust Features

4. Random Sampling-Based Relative Radiometric Normalization

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