Ld crops (corn, soybean, and winter wheat) applying 15 Hyperion narrowbands. Analysis
Ld crops (corn, soybean, and winter wheat) utilizing 15 Hyperion narrowbands. Evaluation was carried out across three years, for four months throughout each increasing season when offered; these accuracies are averages across these three years. Image(s) Applied June July August S(-)-Irofulven site eptember 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 99 100 99 99 100 Producer’s (User’s) Accuracy Corn 50 56 23 59 82 91 one hundred 100 100 100 one hundred one hundred one hundred one hundred 100 (48) (75) (23) (56) (90) (85) (82) (83) (93) (79) (100) (100) (97) (one hundred) (one hundred) soybean 60 75 87 47 one hundred 90 98 100 96 85 one hundred one hundred one hundred 97 one hundred (53) (59) (66) (66) (one hundred) (88) (91) (one hundred) (100) (94) (100) (one hundred) (98) (one hundred) (100) Winter Wheat 88 91 75 87 92 96 96 96 99 94 one hundred 100 one hundred 99 100 (82) (79) (84) (79) (86) (95) (95) (90) (95) (93) (97) (one hundred) (100) (99) (one hundred) These benefits are for the validation subset, which was not utilised for training and testing.Additional detailed results are incorporated in the Supplementary Materials, which contain confusion matrices and related calculations of producer’s, user’s, and general accuracies. From these matrices, the user can see when crop forms were classified correctly and incorrectly. For instance, Table S119 shows Random Forest final results for the August DESIS GNE-371 Biological Activity imagery information. Out of 129 corn samples, 110 were classified correctly for any producer’s accuracy of 85 . Out of your other 19 misclassified samples, 5 had been classified as winter wheat, 6 as other-crop, and eight as non-crop. Related error matrices are readily available in Supplementary Components 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 3 major planet crops (corn, soybean, and winter wheat) using 15 Hyperion narrowbands. Evaluation was carried out across three years, for four months all through each and every growing season when readily available; these accuracies are averages across those 3 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 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 (one hundred) (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 final results are for the validation subset, which was not made use of for training and testing.Table 9. Hyperion WekaXMeans Accuracies. Classification accuracies for WekaXMeans separating 3 major globe crops (corn, soybean, and winter wheat) employing 15 Hyperion narrowbands. Analysis was conducted across three years, for 4 months throughout each developing season when out there; these accuracies are averages across those three 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 All round Accuracy 60 34 54 61 70 71 77 66 59 63 75 78 76 73 88 50 93 33 44 82.
