Usability of one-class classification in mapping and detecting changes in bare peat surfaces in the tundra-Reference-Cited by-同舟云学术

Usability of one-class classification in mapping and detecting changes in bare peat surfaces in the tundra

Published:2019-01-02 Issue:11 Volume:40 Page:4083-4103
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Räsänen Aleksi¹²^ORCID,Elsakov Vladimir³,Virtanen Tarmo¹

Affiliation:

1. Ecosystems and Environment Research Programme, Faculty of Biological and Environmental Sciences, and Helsinki Institute of Sustainability Science (HELSUS), University of Helsinki, Helsinki, Finland

2. Department of Geography, Norwegian University of Science and Technology, Trondheim, Norway

3. Institute of Biology of Komi Scientific Centre of the Ural Branch of the Russian Academy of Sciences, Syktyvkar, Komi Republic, Russia

Funder

Academy of Finland

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1558376

Reference94 articles.

1. Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers

2. A multi-temporal approach in MaxEnt modelling: A new frontier for land use/land cover change detection

3. Using Ordinary Digital Cameras in Place of Near-Infrared Sensors to Derive Vegetation Indices for Phenology Studies of High Arctic Vegetation

4. Semi-automated detection of eagle nests: an application of very high-resolution image data and advanced image analyses to wildlife surveys

5. One-Class Classification of Airborne LiDAR Data in Urban Areas Using a Presence and Background Learning Algorithm

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