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[HTML][HTML] Exploring Transfer Learning for Anthropogenic Geomorphic Feature Extraction from Land Surface Parameters Using UNet
Semantic segmentation algorithms, such as UNet, that rely on convolutional neural network
(CNN)-based architectures, due to their ability to capture local textures and spatial context …
(CNN)-based architectures, due to their ability to capture local textures and spatial context …
Building type classification using deep learning for transport planning
The transportation and land use sectors are closely interdependent, and real-life
circumstances often exhibit substantial reciprocal influences. Currently, efforts are being …
circumstances often exhibit substantial reciprocal influences. Currently, efforts are being …
Road segmentation: exploiting the efficiency of skip connections for efficient semantic segmentation
Extraction of features is a unique approach that has several real-time applications. In remote
sensing, road feature extraction includes recognising and extracting essential information …
sensing, road feature extraction includes recognising and extracting essential information …
Co-salient object detection in optical remote sensing images via consensus exploration and detail perception
Y Ge, J Chen, T Liang, Y Zhong, H Bi, Q Zhang - Authorea Preprints, 2024 - authorea.com
Co-salient object detection (CoSOD) in optical remote sensing images (ORSI) is an
emerging extension of salient object detection (SOD), which aims to identify common salient …
emerging extension of salient object detection (SOD), which aims to identify common salient …