Classification of croplands through fusion of optical and sar time series data

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 41, Issue , 2016, Pages 703-704

  Park, S ^a   Im, J ^a  

^a Ulsan National Institute of Science and Technology   (South Korea)

Author keywords

Crop classification; Data fusion; Landsat 5; Machine learning; Multi temporal; Paddy rice index; Radarsat 1

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA FUSION; DECISION TREES; LEARNING SYSTEMS; REMOTE SENSING; SPACE-BASED RADAR; SUPPORT VECTOR MACHINES; SURVEYING; SYNTHETIC APERTURE RADAR; TIME SERIES; VEGETATION;

CROP CLASSIFICATION; LANDSAT-5; MULTI-TEMPORAL; PADDY RICE; RADARSAT 1;

SENSOR DATA FUSION;

EID: 84979530419     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5194/isprsarchives-XLI-B7-703-2016     Document Type: Conference Paper

References (3)

1. Sheoran, A., & Haack, B., 2013. Classification of California agriculture using quad polarization radar data and Landsat Thematic Mapper data. GIScience & Remote Sensing, 50(1), pp. 50-63.
2. Stefanski, J., Kuemmerle, T., Chaskovskyy, O., Griffiths, P., Havryluk, V., Knorn, J., & Waske, B., 2014. Mapping land management regimes in western Ukraine using optical and SAR data. Remote Sensing, 6(6), pp. 5279-5305.
3. Amarsaikhan, D., Saandar, M., Ganzorig, M., Blotevogel, H. H., Egshiglen, E., Gantuyal, R., & Enkhjargal, D. (2012). Comparison of multisource image fusion methods and land cover classification. International Journal of Remote Sensing, 33(8), pp. 2532-2550.