Papers citing 'Deep Learning Approach for Building Detection in Satellite Multispectral Imagery'

Title
Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited AnnotationsIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023 Anuja Vats David Völgyes Martijn Vermeer Marius Pedersen Kiran Raja D. Fantin Jacob Alexander Hay SSL 159 8 0 02 Nov 2023
Tracking the industrial growth of modern China with high-resolution panchromatic imagery: A sequential convolutional approach Ethan Brewer Zhonghui Lv Daniel M. Runfola 207 3 0 23 Jan 2023
Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery Md Nasir Tina Sederholm Anshu Sharma Sundeep Reddy Mallu Sumedh Ranjan Ghatage Rahul Dodhia J. L. Ferres 86 2 0 16 Nov 2022
Automatic satellite building construction monitoring Insaf Ashrapov D. Malakhov A. Marchenkov Anton Lulin Dani El-Ayyass 101 0 0 29 Sep 2022
Trinity: A No-Code AI platform for complex spatial datasets C. V. K. Iyer Feili Hou Henry Wang Yonghong Wang Kay Oh Swetava Ganguli Vipul Pandey SyDa 227 24 0 21 Jun 2021
Object-Based Augmentation Improves Quality of Remote Sensing Semantic Segmentation S. Illarionova S. Nesteruk Dmitrii G. Shadrin V. Ignatiev M. Pukalchik Ivan Oseledets 144 6 0 12 May 2021
The color out of space: learning self-supervised representations for Earth Observation imagery Stefano Vincenzi Angelo Porrello Pietro Buzzega Marco Cipriano Pietro Fronte Roberto Cuccu C. Ippoliti A. Conte Simone Calderara SSL 178 65 0 22 Jun 2020
Spotting insects from satellites: modeling the presence of Culicoides imicola through Deep CNNsInternational Conference on Signal-Image Technology and Internet-Based Systems (SITIS), 2019 Stefano Vincenzi Angelo Porrello Pietro Buzzega A. Conte C. Ippoliti L. Candeloro A. D. Lorenzo A. C. Dondona Simone Calderara 144 13 0 22 Nov 2019