Process-based image analysis for agricultural mapping: A case study in Turkgeldi region, Turkey


Avci Z. D. U. , Sunar F.

ADVANCES IN SPACE RESEARCH, cilt.56, ss.1635-1644, 2015 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 56 Konu: 8
  • Basım Tarihi: 2015
  • Doi Numarası: 10.1016/j.asr.2015.07.021
  • Dergi Adı: ADVANCES IN SPACE RESEARCH
  • Sayfa Sayıları: ss.1635-1644

Özet

The need for timely, accurate, and interoperable geospatial information is steadily increasing. In this context, process-based image processing systems will be the initial segment for future's automatic systems. A process-based system is believed to be a good approach for agricultural purpose because agricultural activities are carried out according to a periodic (annual) cycle. Therefore, a process-based image analysis procedure was designed for routine crop classification for an agricultural region in Kirklareli, Turkey. The process tree developed uses a multi-temporal image data set as an input and gives the final crop classification as an output by using an incremental rule set. The test data set was composed of five images of Satellite Pour l'Observation de la Terre 4 (SPOT 4) data acquired in 2007.