Benchmarking classifiers to optimally integrate terrain analysis and multispectral remote sensing in automatic rock glacier detection-Reference-Cited by-同舟云学术

Benchmarking classifiers to optimally integrate terrain analysis and multispectral remote sensing in automatic rock glacier detection

Published:2009-01 Issue:1 Volume:113 Page:239-247
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Brenning Alexander

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference75 articles.

1. Generalised linear modelling of susceptibility to landsliding in the Central Apennines, Italy;Atkinson;Computers & Geosciences,1998

2. Discharge and sediment-load characteristics of the Hilda rock-glacier stream, Canadian Rocky Mountains, Alberta;Bajewski;Physical Geography,1989

3. Neural network approaches versus statistical methods in classification of multisource remote sensing data;Benediktsson;IEEE Transactions on Geoscience and Remote Sensing,1990

4. Controlling the false discovery rate: A practical and powerful approach to multiple testing;Benjamini;Journal of the Royal Statistical Society B,1995

5. Terrain analysis and data modeling for alpine glacier mapping;Bishop;Polar Geography,2001

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