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Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification.

, , , and . IEEE Trans. Geosci. Remote. Sens., 55 (2): 645-657 (2017)

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Graph-cut-based model for spectral-spatial classification of hyperspectral images., and . IGARSS, page 3418-3421. IEEE, (2014)Multi-Task Deep Learning for Satellite Image Pansharpening and Segmentation., , , and . IGARSS, page 4869-4872. IEEE, (2019)Aligning and Updating Cadaster Maps with Aerial Images by Multi-task, Multi-resolution Deep Learning., , and . ACCV (5), volume 11365 of Lecture Notes in Computer Science, page 675-690. Springer, (2018)Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data., , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 12 (9): 3524-3537 (2019)Operational Pipeline for Large-Scale 3D Reconstruction of Buildings From Satellite Images., , , , , , and . IGARSS, page 445-448. IEEE, (2020)Brightearth City Texturing : Faithful Procedural 3d Urban Modeling From Satellite and Ground Imagery., , , , and . IGARSS, page 5599-5602. IEEE, (2023)Input Similarity from the Neural Network Perspective., , , and . NeurIPS, page 5343-5352. (2019)Improved hierarchical optimization-based classification of hyperspectral images using shape analysis., and . IGARSS, page 1409-1412. IEEE, (2012)Learning Approaches for Remote Sensing Image Classification.. (2017)Real-time anomaly detection in hyperspectral images using multivariate normal mixture models and GPU processing., , , and . J. Real-Time Image Processing, 4 (3): 287-300 (2009)