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We used Google Earth Engine to generate the Dataset from Crop Land Data Layer provided by United States Department of Agriculture (USDA)
and National Agricultural Statistics Service (NASS). Our Study area for analyzing performance of segmentation models is comprised of 9 different
counties of state of Nebraska, United States of America. We emphasize on Classifying two categories, thus two different datasets are:-
(1) Cultivated and Non-Cultivated Land Cover
(2) Out of Cultivated area we classify the crop type i.e. Corn, Soya Bean, Winter Wheat, Alfalfa Hay and Others.
Visual Results
Top Images are Landsat8 image, Ground-Truth and Predicted Results for cultivated area respectively (Black pixels represent non-cultivated and white pixels are cultivated area,
whereas Bottom Images are of Landsat8, Ground-Truth and classified Crops (Yellow as Corn, Green as Soyabean, orange as Winter Wheat, Pink as Alfalfa and Black as Other crops).
Cultivated/Non-Cultivated Land Cover
Out of Cultivated area classified Crop Types
Quantitative Results
Dataset: LandCover Classification (Cultivated/Non-Cultivated Land area)
UNet
Results
Values
Accuracy
89.5
Dice co-efficient
89.2
SegNet
Results
Values
Accuracy
74.69
Dice co-efficient
73.43
DeepLabv3
Results
Values
Accuracy
89.13
Dice co-efficient
88.6
Dataset Crop type Classification
UNet
Results
Values
Accuracy
67.3
Dice co-efficient
57.1
SegNet
Results
Values
Accuracy
49.5
Dice co-efficient
37.0
DeepLabv3
Results
Values
Accuracy
69.7
Dice co-efficient
62.02
Performance Graphs
UNet
Part 1: Cultivated/Non-Cultivated LandCover Classification
Loss: UNet vs SegNet vs DeepLabv3
Accuracy: UNet vs SegNet vs DeepLabv3
Dice Similarity Co-efficient: UNet vs SegNet vs DeepLabv3
Part 2: Crop Type Classification
Loss: UNet vs SegNet vs DeepLabv3
Accuracy: UNet vs SegNet vs DeepLabv3
Dice Similarity Co-efficient: UNet vs SegNet vs DeepLabv3
Accuracy: UNet vs SegNet vs DeepLabv3
Dice Similarity Co-efficient: UNet vs SegNet vs DeepLabv3
Accuracy: UNet vs SegNet vs DeepLabv3
Dice Similarity Co-efficient: UNet vs SegNet vs DeepLabv3
