Gaussian Kernel Based Classification Approach for Wheat Identification

6 citations as recorded by crossref.

1. Procreation of training data using cognitive science in temporal data processing for burnt paddy fields mapping M. Singhal et al. 10.1016/j.rsase.2021.100516
2. An automated early-season method to map winter wheat using time-series Sentinel-2 data: A case study of Shandong, China H. Zhang et al. 10.1016/j.compag.2020.105962
3. Spatio-Temporal Monitoring of Shifting Cultivation Using Landsat Images: Soft Classification Approach G. Venkata Rao et al. 10.1007/s12524-018-0770-6
4. Identification of Paddy Stubble Burnt Activities Using Temporal Class-Based Sensor-Independent Indices Database: Modified Possibilistic Fuzzy Classification Approach A. Singh & A. Kumar 10.1007/s12524-019-01093-4
5. Wheat Monitoring by Using Kernel Based Possibilistic c-Means Classifier: Bi-sensor Temporal Multi-spectral Data R. Tripathi et al. 10.1007/s12524-016-0651-9
6. A fuzzy machine learning approach for identification of paddy stubble burnt fields K. Chhapariya et al. 10.1007/s41324-020-00356-4