HIGHLIGHTS
- who: Abeer D. Algarni from the Department of Mechanical Engineering, National Taiwan University of and Technology, Taipei City, Taiwan have published the research: Hyperspectral Images-Based Crop Classification Scheme for Agricultural Remote Sensing, in the Journal: (JOURNAL)
- what: In this study a unique pixel-based approach was designed to improve the crops` classification accuracy by using the edge-preserving features (EPF) and principal component analysis (PCA) in conjunction. The main reason for this update is to capture the multi-scale spatial features already stored in EPF with suitable parameter values.
- how: For this . . .
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