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ORCIDCDCEO@IJCAI 2022: Vienna, Austria
- Aleksandra Gruca, Caleb Robinson, Naoto Yokoya, Jun Zhou, Pedram Ghamisi:
Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), Vienna, Austria, July 25th, 2022. CEUR Workshop Proceedings 3207, CEUR-WS.org 2022
Regular Track
- Yifan Wang, Shuguo Jiang, Meng Xu, Shuyu Zhang, Sen Jia:
A Center-Masked Convolutional Transformer for Hyperspectral Image Classification. 1-6 - Shizhen Chang, Michael Kopp, Pedram Ghamisi:
A Deep Feature Retrieved Network for Bitemporal Remote Sensing Image Change Detection. 7-13 - Jian Song, Bruno Adriano, Naoto Yokoya:
"Disaster Detection from SAR Images with Different Off-Nadir Angles Using Unsupervised Image Translation. 14-20 - Li Mi, Siran Li, Christel Chappuis, Devis Tuia:
Knowledge-Aware Cross-Modal Text-Image Retrieval for Remote Sensing Images. 14-20 - Agatha C. H. de Mattos, Michela Bertolotto, Gavin McArdle:
Mapping Slums with Deep Learning Feature Extraction. 27-32 - Bryan Zhu, Nicholas Lui, Jeremy Irvin, Jimmy Le, Sahil Tadwalkar, Chenghao Wang, Zutao Ouyang, Frankie Y. Liu, Andrew Y. Ng, Robert B. Jackson:
METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping. 33-43 - Hejar Shahabi, Omid Ghorbanzadeh:
Model-Centric vs Data-Centric Deep Learning Approaches for Landslide Detection. 44-49 - Valentin Barrière, Martin Claverie:
Multimodal Crop Type Classification Fusing Multi-Spectral Satellite Time Series with Farmers Crop Rotations and Local Crop Distribution. 50-57 - Bruno Adriano, Naoto Yokoya, Satoru Oishi:
Predicting Flood Inundation Depth Based-on Machine Learning and Numerical Simulation. 58-64 - Peter Pavlík, Viera Rozinajová, Anna Bou Ezzeddine:
Radar-Based Volumetric Precipitation Nowcasting: A 3D Convolutional Neural Network with U-Net Architecture. 65-72 - Yonghao Xu, Weikang Yu, Pedram Ghamisi:
Task-Guided Denoising Network for Adversarial Defense of Remote Sensing Scene Classification. 73-78 - Laura Elena Cué La Rosa, Dário Augusto Borges Oliveira, Samuel T. Thiele, Pedram Ghamisi, Richard Gloaguen:
Weak-Supervision Based on Label Proportions for Earth Observation Applications from Optical and Hyperspectral Imagery. 79-85
Landslide4Sense Track
- Pedram Ghamisi, Omid Ghorbanzadeh, Yonghao Xu, Pedro Herruzo, David P. Kreil, Michael Kopp, Sepp Hochreiter:
The Landslide4Sense Competition 2022. 91 - Hengwei Zhao, Junjue Wang, Yang Pan, Ailong Ma, Xinyu Wang, Yanfei Zhong:
Progressive Label Refinement-Based Distribution Adaptation Framework for Landslide Detection. 87-90 - Dong Zhao, Qi Zang, Zining Wang, Dou Quan, Shuang Wang:
SwinLS: Adapting Swin Transformer to Landslide Detection. 91-95 - Fahong Zhang, Yilei Shi, Qingsong Xu, Zhitong Xiong, Wei Yao, Xiao Xiang Zhu:
On the Generalization of the Semantic Segmentation Model for Landslide Detection. 96-100 - Lin Bai, Weile Li, Qiang Xu, Weihang Peng, Kai Chen, Zhenzhen Duan, Huiyan Lu:
Multispectral U-Net: A Semantic Segmentation Model Using Multispectral Bands Fusion Mechanism for Landslide Detection. 101-104
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