Field-based crop classification using SPOT4, SPOT5, IKONOS and QuickBird imagery for agricultural areas: a comparison study-Reference-Cited by-同舟云学术

Field-based crop classification using SPOT4, SPOT5, IKONOS and QuickBird imagery for agricultural areas: a comparison study

Published:2011-08-02 Issue:24 Volume:32 Page:9735-9768
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Turker Mustafa¹,Ozdarici Asli²

Affiliation:

1. a Department of Geodesy and Photogrammetry , Faculty of Engineering, Hacettepe University , 06800 , Ankara , Turkey

2. b Graduate School of Natural and Applied Sciences, Geodetic and Geographic Information Technologies, Middle East Technical University , 06531 , Ankara , Turkey

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2011.576710

Reference69 articles.

1. Sub-pixel land cover mapping for per-field classification

2. Predicting Missing Field Boundaries to Increase Per-Field Classification Accuracy

3. Fine Spatial Resolution Simulated Satellite Sensor Imagery for Land Cover Mapping in the United Kingdom

4. Synergy of multitemporal ERS-1 SAR and Landsat TM data for classification of agricultural crops

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