LAND-COVER MAPS USING MULTIPLE CLASSIFIER SYSTEM FOR POST-DISASTER LANDSCAPE MONITORING
<p>Recently, land cover maps created from high resolution satellite images have been used for landscape analysis, in order to understand the impact of natural disasters on biodiversity and ecosystems. Conventional land cover classification methods, however, suffer from problems with isolated...
Main Authors: | H. Hirayama, M. Tomita, R. C. Sharma, K. Hara |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2019-08-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W8/139/2019/isprs-archives-XLII-3-W8-139-2019.pdf |
Similar Items
-
Ensemble classifiers for land cover mapping
by: Abe, Bolanle Tolulope
Published: (2014) -
Sentinel-1 InSAR Coherence for Land Cover Mapping: A Comparison of Multiple Feature-Based Classifiers
by: Alexander W. Jacob, et al.
Published: (2020-01-01) -
Finer Resolution Land-Cover Mapping Using Multiple Classifiers and Multisource Remotely Sensed Data in the Heihe River Basin
by: Bo Zhong, et al.
Published: (2015-01-01) -
Post-Disaster Recovery Assessment with Machine Learning-Derived Land Cover and Land Use Information
by: Mohammadreza Sheykhmousa, et al.
Published: (2019-05-01) -
OIC-MCE: A Practical Land Cover Mapping Approach for Limited Samples Based on Multiple Classifier Ensemble and Iterative Classification
by: Guangbin Lei, et al.
Published: (2020-03-01)