Plant Phenomics / 2021 / Article / Fig 11

Research Article

Classification of Rice Yield Using UAV-Based Hyperspectral Imagery and Lodging Feature

Figure 11

The texture parameters and morphological parameters of the model. (a) Original image. (b) The feature of local entropy yield feature array with each pixel contains the entropy value of the 9-by-9 neighborhood around the corresponding pixel in the input image. (c) The feature of local range contains the range value of the 3-by-3 neighborhood around the corresponding pixel in the input image. (d) The feature of local standard deviation, which is the standard deviation of the 3-by-3 neighborhood around the corresponding input pixel. (e) Comparing the results using the second and third repetitions as the training set and the first repetition as the test set. (f) Comparing the results using the first and third repetitions as the training set and the second repetition as the test set. (g) Comparing the results using the 1st and 2nd repeats as the training set and the 3rd repeat as the test set.