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ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos

Mou et al., ERA: A dataset and deep learning benchmark for event recognition in aerial videos, IEEE Geoscience and Remote Sensing Magazine, 2021 in press [paper] [code] [data]

 

Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with a Shared and Specific Feature Learning Model

Hong et at., Multimodal remote sensing benchmark datasets for land cover classification with a shared and specific feature learning model, ISPRS Journal of Photogrammetry and Remote Sensing, 178, 68-90, 2021 [paper] [code]

 

SEN12MS-CR: Multi-Sensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery

Ebel et al., Multi-Sensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery, 2021 [paper] [data]

 

Cloud Removal in Sentinel-2 Imagery Using a Deep Residual Neural Network and SAR-optical Data Fusion

Meraner et al., Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion, ISPRS Journal of Photogrammetry and Remote Sensing, 166, 333-346, 2020 [paper] [code] [data]

 

So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification

Zhu et al., So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification, IEEE Geoscience and Remote Sensing Magazine, 8(3), pp. 76–89, 2020 [data], [tensorflow doc], [arXiv.org]

 

SEN12MS – A Curated Dataset of Georeferenced Multi-spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion

Schmitt et al., SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W7, 153–160, 2019 [data], [paper], [arXiv.org]

 

A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes

Mou et al., A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes, CVPR 2019, accepted. [paper], [code & data]

 

SARptical

Wang et al., “Fusing Meter-Resolution 4-D InSAR Point Clouds and Optical Images for Semantic Urban Infrastructure Monitoring,” IEEE Transactions on Geoscience and Remote Sensing, 55(1), 14–26, 2017. [paper][data]

Please also see for the first demonstration:
Hughes et al., “Identifying Corresponding Patches in SAR and Optical Images with a Pseudo-Siamese CNN,” IEEE Geoscience and Remote Sensing Letters, 15(5), 784-788, 2018. [paper]

 

Benchmark of streetview image of individual building instance

Kang et al., Building instance classification using street view images, ISPRS Journal of Photogrammetry and Remote Sensing, 145, 44-59, 2018. [paper], [data]

 

Deep Recurrent Neural Networks for Hyperspectral Image Classification

Mou et al., Deep Recurrent Neural Networks for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 55(7), 3639-3655, 2017. [paper], [correction], [code]

 

2016 IEEE Data fusion context

Mou and Zhu, Spatiotemporal Scene Interpretation of Space Videos via Deep Neural Network And Tracklet Analysis, 2016 IEEE GRSS Data Fusion Contest. [ground truth & visu]

 

J-SparseFI

Zhu et al., Exploiting Joint Sparsity for Pan-sharpening – the J-SparseFI Algorithm. IEEE Transactions on Geoscience and Remote Sensing 54(5), 2664-2681, 2016. [data]

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