College of Information Science & Engineering, Hunan Women’s University, Changsha, P. R. China<&wdkj&>College of Agronomy, Hunan Agricultural University, Changsha, P. R. China
National Key R&D Program of China [2016YFD0300509, 2018YFD0301005]
机构署名：
本校为第一机构
院系归属：
农学院
摘要：
Rice variety identification is important for genetic breeding classification and crop yield estimation. Traditional identification methods are time-consuming and inaccurate. This paper proposes a method for rice variety identification based on the hyperspectral characteristics of leaves. Hyperspectral data of rice leaves were collected using a geophysical spectrometer imaging system. To reduce the redundance among the hyperspectral data and save the identification cost, locality preserving projections (LPP) is first applied to extract low-dimensional representative features from the leaf hyper...
