#Ieee 2020 RSSI Projects
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Ieee 2020 RSSI Projects spectroradiometric characteristics, thus, could be detected with an optimal brightness threshold and further differentiated with a scene-based near infrared ratio.Ieee 2020 RSSI Projects The pixel-based methods generally recognized more shadow areas and with statistically higher accuracy than the gradient methods. The effects of the prior shadow thresh holding were not statistically significant.
Ieee 2020 RSSI Projects The accuracy of the final land cover classification, after accounting for the shadow detection and separation, was significantly higher for the pixel-based methods than for the gradient methods, although both achieved similar accuracy for the non-shadow classes. Both algorithms significantly reduced shadow areas in the original satellite images.
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