Domain Transform Filter and Spatial-Aware Collaborative Representation for Hyperspectral Image Classification Using Few Labeled Samples

[1]  Jun Li,et al.  Recent Advances on Spectral–Spatial Hyperspectral Image Classification: An Overview and New Guidelines , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[2]  Qian Du,et al.  Joint Within-Class Collaborative Representation for Hyperspectral Image Classification , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[3]  Manuel Menezes de Oliveira Neto,et al.  Domain transform for edge-aware image and video processing , 2011, ACM Trans. Graph..

[4]  Antonio J. Plaza,et al.  Probabilistic-Kernel Collaborative Representation for Spatial–Spectral Hyperspectral Image Classification , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Chao Li,et al.  Active Transfer Learning Network: A Unified Deep Joint Spectral–Spatial Feature Learning Model for Hyperspectral Image Classification , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Jinghui Yang,et al.  A weighted multiple-feature fusion classifier for hyperspectral images with limited training samples , 2018 .

[7]  Peijun Du,et al.  Multikernel Adaptive Collaborative Representation for Hyperspectral Image Classification , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Xia Xu,et al.  Hierarchical Guidance Filtering-Based Ensemble Classification for Hyperspectral Images , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[9]  Qian Du,et al.  Hyperspectral Image Classification Using Weighted Joint Collaborative Representation , 2015, IEEE Geoscience and Remote Sensing Letters.

[10]  Pascal Fua,et al.  SLIC Superpixels Compared to State-of-the-Art Superpixel Methods , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[11]  Jinghui Yang,et al.  Joint Collaborative Representation With Shape Adaptive Region and Locally Adaptive Dictionary for Hyperspectral Image Classification , 2020, IEEE Geoscience and Remote Sensing Letters.

[12]  Chao Li,et al.  Active multi-kernel domain adaptation for hyperspectral image classification , 2017, Pattern Recognit..

[13]  Lizhe Wang,et al.  SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[14]  Qian Du,et al.  Kernel Collaborative Representation With Tikhonov Regularization for Hyperspectral Image Classification , 2014, IEEE Geoscience and Remote Sensing Letters.

[15]  Yi Yu,et al.  Spatial-Aware Collaborative Representation for Hyperspectral Remote Sensing Image Classification , 2017, IEEE Geoscience and Remote Sensing Letters.

[16]  Jon Atli Benediktsson,et al.  Spectral–Spatial Hyperspectral Image Classification With Edge-Preserving Filtering , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[17]  Lei Zhang,et al.  Sparse representation or collaborative representation: Which helps face recognition? , 2011, 2011 International Conference on Computer Vision.

[18]  Jon Atli Benediktsson,et al.  Feature Extraction of Hyperspectral Images With Image Fusion and Recursive Filtering , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[19]  Liang Xiao,et al.  Superpixel-guided multiscale kernel collaborative representation for hyperspectral image classification , 2016 .