Cloud and Cloud Shadow Segmentation for Remote Sensing Imagery via Filtered Jaccard Loss Function and Parametric Augmentation

23 January 2020

Papers citing "Cloud and Cloud Shadow Segmentation for Remote Sensing Imagery via Filtered Jaccard Loss Function and Parametric Augmentation"

5 / 5 papers shown

Title
FPGA-Based Neural Network Accelerators for Space Applications: A Survey Pedro Antunes Artur Podobas 30 0 0 22 Apr 2025
Machine Learning in Space: Surveying the Robustness of on-board ML models to Radiation Kevin Lange Federico Fontana Francesco Rossi Mattia Varile Giovanni Apruzzese 26 0 0 04 May 2024
Distribution-aware Interactive Attention Network and Large-scale Cloud Recognition Benchmark on FY-4A Satellite Image Jiaqing Zhang Jie Lei Weiying Xie Kai Jiang Mingxiang Cao Yunsong Li 25 3 0 06 Jan 2024
EarthNets: Empowering AI in Earth Observation Zhitong Xiong Fahong Zhang Yi Wang Yilei Shi Xiao Xiang Zhu 101 73 0 10 Oct 2022
SEnSeI: A Deep Learning Module for Creating Sensor Independent Cloud Masks Alistair Francis John Mrziglod P. Sidiropoulos J. Muller 3DPC 13 7 0 16 Nov 2021