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HYPERSPECTRAL IMAGE KERNEL SPARSE SUBSPACE CLUSTERING WITH SPATIAL MAX POOLING OPERATION
Hyperspectral image nonlinear processing spatial max pooling SSC kernel
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2016/7/28
In this paper, we present a kernel sparse subspace clustering with spatial max pooling operation (KSSC-SMP) algorithm for hyperspectral remote sensing imagery. Firstly, the feature points are mapped f...
FEATURE DESCRIPTOR BY CONVOLUTION AND POOLING AUTOENCODERS
Image Matching Representation Learning Autoencoder Pooling Learning Descriptor Descriptor Evaluation
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2015/4/1
In this paper we present several descriptors for feature-based matching based on autoencoders, and we evaluate the performance of these descriptors. In a training phase, we learn autoencoders from ima...