Gaussian Kernel Based Classification Approach for Wheat Identification

7 citations as recorded by crossref.

1. A Novel Approach for Mapping Wheat Areas Using High Resolution Sentinel-2 Images A. Nasrallah et al. 10.3390/s18072089
2. 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
3. Novel 3-D Deep Neural Network Architecture for Crop Classification Using Remote Sensing-Based Hyperspectral Images M. Ashraf et al. 10.1109/JSTARS.2024.3422078
4. Spatio-Temporal Monitoring of Shifting Cultivation Using Landsat Images: Soft Classification Approach G. Venkata Rao et al. 10.1007/s12524-018-0770-6
5. 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
6. 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
7. A fuzzy machine learning approach for identification of paddy stubble burnt fields K. Chhapariya et al. 10.1007/s41324-020-00356-4