A Fast and Reliable Matching Method for Automated Georeferencing of Remotely-Sensed Imagery-Reference-Cited by-同舟云学术

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A Fast and Reliable Matching Method for Automated Georeferencing of Remotely-Sensed Imagery

Published:2016-01-19 Issue:1 Volume:8 Page:56
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Long Tengfei,Jiao Weili,He Guojin,Zhang Zhaoming

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

http://www.mdpi.com/2072-4292/8/1/56/pdf

Reference44 articles.

1. Google Satellite Imageshttps://www.google.com/maps

2. Bing Aerial Imageshttp://www.bing.com/maps/

3. MapQuest Satellite Mapshttp://www.mapquest.com/satellite-maps/

4. Mapbox Satellite Imageshttps://www.mapbox.com/mapbox-gl-js/example/satellite-map/

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2. Onboard Hyperspectral Classification Enables Georeferencing;2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS);2023-10-31

3. Georeferencing Thermal Satellite Images Based on Land Cover Information Extraction;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

4. Investigation of Perturbations Arising from Temperature Shock with a Symmetrical Arrangement of Flexible Elements of a Small Spacecraft;Symmetry;2023-06-29

5. A New and Automated Method for Improving Georeferencing in Nighttime Thermal ECOSTRESS Imagery;Sensors;2023-05-25

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