Review Article
Remote Sensing Image Classification: A Comprehensive Review and Applications
Table 1
Classification accuracy of UCM on different CNN models.
| | Algorithm | Year | Publication | Accuracy (%) |
| | MCNN [69] | 2018 | IEEE trans | 99.76 | | ARCNet-VGG16 [19] | 2018 | IEEE trans | 99.12 | | FACNN [70] | 2019 | IEEE trans | 99.05 | | SF-CNN [71] | 2019 | IEEE trans | 99.05 | | CNN-CapsNet [22] | 2019 | Remote sensing | 99.05 | | D-CNN [72] | 2018 | IEEE trans | 98.93 | | ADSSM [73] | 2018 | IEEE trans | 98.81 | | RSFJR [71] | 2019 | IEEE trans | 98.57 | | GBN [74] | 2019 | IEEE trans | 98.57 | | MSCP [19] | 2018 | IEEE trans | 98.36 | | ADFF [75] | 2019 | IEEE trans | 97.53 | | VGG-VD-16 [76] | 2017 | IEEE trans | 95.21 | | CaffeNet [76] | 2017 | IEEE trans | 95.02 | | GBRCN [77] | 2015 | IEEE trans | 94.53 | | GoogLeNet [76] | 2017 | IEEE trans | 94.31 | | AlexNet [78] | 2021 | Journal of Geosciences | 94.20 | | Feature RCGSVM [22] | 2019 | PLOS ONE | 93.81 | | Inception-V3 [78] [2] | 2021 | Journal of Geosciences | 91.10 | | LPCNN [79] | 2016 | IEEE trans | 89.90 |
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