Segmentation and object-oriented classification of wetlands in a karst Florida landscape using multi-season Landsat-7 ETM+ imagery-Reference-Cited by-同舟云学术

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Segmentation and object-oriented classification of wetlands in a karst Florida landscape using multi-season Landsat-7 ETM+ imagery

Published:2011-03-16 Issue:5 Volume:32 Page:1471-1489
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Frohn R. C.¹²,Autrey B. C.³,Lane C. R.³,Reif M.¹⁴

Affiliation:

1. a Dynamac Corporation c/o US Environmental Protection Agency (US EPA) , Cincinnati, Ohio, USA

2. b Department of Geography , University of Cincinnati , Cincinnati, Ohio, USA

3. c US Environmental Protection Agency (US EPA), National Exposure Research Laboratory , Cincinnati, Ohio, USA

4. d Gulf Coast Geospatial Center , University of Southern Mississippi , Gulfport, Mississippi, USA

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431160903559762

Reference60 articles.

1. Mapping wetlands and riparian areas using Landsat ETM+ imagery and decision-tree-based models

2. Comparison of fuzzy c-means classification, linear mixture modelling and MLC probabilities as tools for unmixing coarse pixels

3. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information

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