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Using Deep Transfer Learning for Unsupervised Image Segmentation in Remote Sensing
(2022-04)
As multispectral image resolution has increased, generating accurate segmentation of these images can pose a significant challenge. Furthermore, creating accurate labeled data requires hours of manual segmentation. One ...
Optimizing Deep Learning Architecture for Remote Sensing Image Analysis
(2021-04)
Deep Learning tools have become very efficient in high-resolution image analysis compared to traditional classification models. One such example is the implementation of semantic segmentation using a Convolutional Neural ...