Critical review on deep learning methodologies employed for water-body segmentation through remote sensing images
S Gautam, J Singhai - Multimedia Tools and Applications, 2024 - Springer
In remote sensing along with image interpretation, water body segmentation (WBS) is a
significant problem. Over the course of a long period of time, the researchers have been …
significant problem. Over the course of a long period of time, the researchers have been …
Large-scale semantic 3-D reconstruction: Outcome of the 2019 IEEE GRSS data fusion contest—Part A
In this article, we present the scientific outcomes of the 2019 Data Fusion Contest organized
by the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and …
by the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and …
Semantic labeling of large-area geographic regions using multiview and multidate satellite images and noisy OSM training labels
B Comandur, AC Kak - IEEE Journal of Selected Topics in …, 2021 - ieeexplore.ieee.org
We present a novel multiview training framework and convolutional neural network (CNN)
architecture for combining information from multiple overlapping satellite images and noisy …
architecture for combining information from multiple overlapping satellite images and noisy …
Multi-layer Thematic Map Representation for Urban Understanding
In this work, we present a proof of concept study of multi-layer thematic map generation. A
novel framework is developed to extract a multi-layer thematic map that better represents …
novel framework is developed to extract a multi-layer thematic map that better represents …
Shared-space autoencoders with randomized skip connections for building footprint detection with missing views
G Ashiotis, J Oldfield, C Chrysostomou… - … and Challenges: Virtual …, 2021 - Springer
Recently, a vast amount of satellite data has become available, going beyond standard
optical (EO) data to other forms such as synthetic aperture radars (SAR). While more robust …
optical (EO) data to other forms such as synthetic aperture radars (SAR). While more robust …