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Towards On-Board Hyperspectral Satellite Image Segmentation: Understanding Robustness of Deep Learning through Simulating Acquisition Conditions.

, , , , , , and . Remote. Sens., 13 (8): 1532 (2021)

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Segmenting Hyperspectral Images Using Spectral-Spatial Convolutional Neural Networks With Training-Time Data Augmentation., , , and . CoRR, (2019)Hyperspectral Image Classification Using Spectral-Spatial Convolutional Neural Networks., , , and . IGARSS, page 866-869. IEEE, (2020)Standardized validation of vehicle routing algorithms., , , , , , and . Appl. Intell., 54 (2): 1335-1364 (2024)Particle Swarm Optimization Configures the Route Minimization Algorithm., , , , , , and . ICCS (1), volume 13351 of Lecture Notes in Computer Science, page 80-87. Springer, (2022)Unbiased Validation of Hyperspectral Unmixing Algorithms., , , , and . IGARSS, page 7344-7347. IEEE, (2023)Deep Ensembles for Hyperspectral Image Data Classification and Unmixing., , , and . Remote. Sens., 13 (20): 4133 (2021)Unsupervised Feature Learning Using Recurrent Neural Nets for Segmenting Hyperspectral Images., , and . IEEE Geosci. Remote. Sens. Lett., 18 (12): 2142-2146 (2021)The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images., , , , , , , and . ICIP, page 4268-4272. IEEE, (2022)Investigating the Impact of the Training Set Size on Deep Learning-Powered Hyperspectral Unmixing., and . IGARSS, page 2024-2027. IEEE, (2021)Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks., , , and . IEEE Access, (2020)