CDCEO 2022

Complex Data Challenges in Earth Observation 2022

Table of Contents

• Preface
  i-iv
  

Regular Track

• A Center-Masked Convolutional Transformer for Hyperspectral Image Classification 1-6
  Yifan Wang , Shuguo Jiang , Meng Xu , Shuyu Zhang , Sen Jia
• A Deep Feature Retrieved Network for Bitemporal Remote Sensing Image Change Detection 7-13
  Shizhen Chang , Michael Kopp , Pedram Ghamisi
• "Disaster Detection from SAR Images with Different Off-Nadir Angles Using Unsupervised Image Translation 14-20
  Jian Song , Bruno Adriano , Naoto Yokoya
• Knowledge-Aware Cross-Modal Text-Image Retrieval for Remote Sensing Images 21-26
  Li Mi , Siran Li , Christel Chappuis , Devis Tuia
• Mapping Slums with Deep Learning Feature Extraction 27-32
  Agatha Mattos , Michela Bertolotto , Gavin McArdle
• METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping 33-43
  Bryan Zhu , Nicholas Lui , Jeremy Irvin , Jimmy Le , Sahil Tadwalkar , Chenghao Wang , Zutao Ouyang , Frankie Y. Liu , Andrew Y. Ng , Robert B. Jackson
• Model-Centric vs Data-Centric Deep Learning Approaches for Landslide Detection 44-49
  Hejar Shahabi , Omid Ghorbanzadeh
• Multimodal Crop Type Classification Fusing Multi-Spectral Satellite Time Series with Farmers Crop Rotations and Local Crop Distribution 50-57
  Valentin Barriere , Martin Claverie
• Predicting Flood Inundation Depth Based-on Machine Learning and Numerical Simulation 58-64
  Bruno Adriano , Naoto Yokoya , Satoru Oishi
• Radar-Based Volumetric Precipitation Nowcasting: A 3D Convolutional Neural Network with U-Net Architecture 65-72
  Peter Pavlík , Viera Rozinajová , Anna Bou Ezzeddine
• Task-Guided Denoising Network for Adversarial Defense of Remote Sensing Scene Classification 73-78
  Yonghao Xu , Weikang Yu , Pedram Ghamisi
• Weak-Supervision Based on Label Proportions for Earth Observation Applications from Optical and Hyperspectral Imagery 79-85
  Laura E. Cué La Rosa , Dário A. Borges Oliveira , Sam Thiele , Pedram Ghamisi , Richard Gloaguen

Landslide4Sense Track

• The Landslide4Sense Competition 2022 86-87
  Pedram Ghamisi , Omid Ghorbanzadeh , Yonghao Xu , Pedro Herruzo , David Kreil , Michael Kopp , Sepp Hochreiter
• Progressive Label Refinement-Based Distribution Adaptation Framework for Landslide Detection 88-91
  Hengwei Zhao , Junjue Wang , Yang Pan , Ailong Ma , Xinyu Wang , Yanfei Zhong
• SwinLS: Adapting Swin Transformer to Landslide Detection 92-96
  Dong Zhao , Qi Zang , Zining Wang , Dou Quan , Shuang Wang
• On the Generalization of the Semantic Segmentation Model for Landslide Detection 97-101
  Fahong Zhang , Yilei Shi , Qingsong Xu , Zhitong Xiong , Wei Yao , Xiao Xiang Zhu
• Multispectral U-Net: A Semantic Segmentation Model Using Multispectral Bands Fusion Mechanism for Landslide Detection 102-105
  Lin Bai , Weile Li , Qiang Xu , Weihang Peng , Kai Chen , Zhenzhen Duan , Huiyan Lu