Ld crops (corn, soybean, and winter wheat) utilizing 15 Hyperion narrowbands. Evaluation
Ld crops (corn, soybean, and winter wheat) working with 15 Hyperion narrowbands. Analysis was conducted across three years, for 4 months throughout each and every developing season when obtainable; these accuracies are averages across those 3 years. Image(s) Used June July August September June uly June ugust June eptember July ugust July eptember August eptember June uly ugust June uly eptember June ugust eptember July ugust eptember June uly ugust eptember All round Accuracy 77 76 76 77 89 93 93 93 94 91 99 one hundred 99 99 100 Compound 48/80 In Vitro Producer’s (User’s) Accuracy Corn 50 56 23 59 82 91 one hundred 100 one hundred 100 100 one hundred 100 100 100 (48) (75) (23) (56) (90) (85) (82) (83) (93) (79) (one hundred) (one hundred) (97) (one hundred) (one hundred) Soybean 60 75 87 47 one hundred 90 98 one hundred 96 85 one hundred 100 100 97 100 (53) (59) (66) (66) (one hundred) (88) (91) (one hundred) (100) (94) (one hundred) (100) (98) (one hundred) (100) Winter Wheat 88 91 75 87 92 96 96 96 99 94 one hundred one hundred 100 99 100 (82) (79) (84) (79) (86) (95) (95) (90) (95) (93) (97) (100) (one hundred) (99) (one hundred) These final results are for the validation subset, which was not utilised for instruction and testing.A lot more detailed outcomes are integrated in the Supplementary Supplies, which contain confusion matrices and connected calculations of producer’s, user’s, and general accuracies. From these matrices, the user can see when crop sorts had been classified correctly and incorrectly. As an example, Table S119 shows Random IQP-0528 Technical Information Forest results for the August DESIS imagery information. Out of 129 corn samples, 110 have been classified properly for any producer’s accuracy of 85 . Out with the other 19 misclassified samples, five have been classified as winter wheat, 6 as other-crop, and eight as non-crop. Equivalent error matrices are obtainable in Supplementary Materials for other years, months, sensors, and algorithms (Tables S1 144).Remote Sens. 2021, 13,16 ofTable eight. Hyperion Naive Bayes Accuracies. Classification accuracies for Naive Bayes separating three top planet crops (corn, soybean, and winter wheat) utilizing 15 Hyperion narrowbands. Evaluation was performed across 3 years, for four months all through each and every developing season when out there; these accuracies are averages across these 3 years. Image(s) Applied June July August September June uly June ugust June eptember July ugust July eptember August eptember June uly ugust June uly eptember June ugust eptember July ugust eptember June uly ugust eptember Overall Accuracy 66 66 67 67 68 72 77 71 79 70 75 86 79 79 82 Producer’s (User’s) Accuracy Corn 17 17 17 26 91 46 75 25 81 52 88 100 70 53 90 (100) (63) (25) (41) (67) (42) (42) (50) (68) (45) (82) (84) (48) (43) (79) Soybean 92 23 70 40 82 94 78 69 54 62 93 87 90 72 89 (50) (75) (70) (53) (56) (67) (76) (70) (79) (47) (64) (81) (78) (69) (68) Winter Wheat 76 91 77 91 81 84 86 82 94 87 86 95 93 91 91 (65) (59) (75) (69) (66) (80) (83) (73) (78) (76) (80) (87) (84) (79) (86) These outcomes are for the validation subset, which was not utilised for education and testing.Table 9. Hyperion WekaXMeans Accuracies. Classification accuracies for WekaXMeans separating three leading globe crops (corn, soybean, and winter wheat) employing 15 Hyperion narrowbands. Evaluation was conducted across 3 years, for four months throughout each and every expanding season when accessible; these accuracies are averages across these three years. Image(s) Made use of June July August September June uly June ugust June eptember July ugust July eptember August eptember June uly ugust June uly eptember June ugust eptember July ugust eptember June uly ugust eptember All round Accuracy 60 34 54 61 70 71 77 66 59 63 75 78 76 73 88 50 93 33 44 82.