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Shadow removal in remote sensing images using features sample matting.

, , , and . IGARSS, page 4412-4415. IEEE, (2015)

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Shadow removal in remote sensing images using features sample matting., , , and . IGARSS, page 4412-4415. IEEE, (2015)Enhancement of Low Light Level Images with coupled dictionary learning., , , and . ICPR, page 751-756. IEEE, (2016)Gaussian Processes Autoencoder for Dimensionality Reduction., , , and . PAKDD (2), volume 8444 of Lecture Notes in Computer Science, page 62-73. Springer, (2014)Spectral-Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images., , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2023)MO-CNN: Multiobjective Optimization of Convolutional Neural Networks for Hyperspectral Image Classification., , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection., , , and . IEEE Trans. Geosci. Remote. Sens., (2022)Metric learning and local enhancement based collaborative representation for hyperspectral image classification., , , , and . Multim. Tools Appl., 83 (14): 42459-42484 (April 2024)Supervised Gaussian Process Latent Variable Model for Hyperspectral Image Classification., , , , , and . IEEE Geosci. Remote. Sens. Lett., 14 (10): 1760-1764 (2017)Gaussian Process Graph-Based Discriminant Analysis for Hyperspectral Images Classification., , , and . Remote Sensing, 11 (19): 2288 (2019)Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Laplacian Regularized Collaborative Representation Projection., , , , , and . IEEE Geosci. Remote. Sens. Lett., (2022)