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Erratum: A Machine Learning Method for Co-Registration and Individual Tree Matching of Forest Inventory and Airborne Laser Scanning Data. Remote Sens. 2017, 9, 505
- Source :
- Remote Sensing, 9 (7), Remote Sensing, Vol 9, Iss 7, p 692 (2017)
- Publication Year :
- 2017
- Publisher :
- MDPI, 2017.
-
Abstract
- Remote Sensing, 9 (7)<br />ISSN:2072-4292
- Subjects :
- Matching (statistics)
Forest inventory
010504 meteorology & atmospheric sciences
Laser scanning
Computer science
business.industry
Science
0211 other engineering and technologies
Co registration
02 engineering and technology
Machine learning
computer.software_genre
01 natural sciences
Tree (data structure)
n/a
Section (archaeology)
General Earth and Planetary Sciences
Artificial intelligence
business
computer
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Subjects
Details
- Language :
- English
- ISSN :
- 20724292
- Database :
- OpenAIRE
- Journal :
- Remote Sensing, 9 (7), Remote Sensing, Vol 9, Iss 7, p 692 (2017)
- Accession number :
- edsair.doi.dedup.....9377fd426eb629a4eb099df77af57b6a