Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep Neural Network Based Hyperspectral Pixel Classification With
  Factorized Spectral-Spatial Feature Representation   Deep learning has been widely used for hyperspectral pixel classification due
to its ability of generating deep feature representation. However, how to
construct an efficient and powerful network suitable for hyperspectral data is
still under exploration. In this paper, a novel neural network model is
designed for taking full advantage of the spectral-spatial structure of
hyperspectral data. Firstly, we extract pixel-based intrinsic features from
rich yet redundant spectral bands by a subnetwork with supervised pre-training
scheme. Secondly, in order to utilize the local spatial correlation among
pixels, we share the previous subnetwork as a spectral feature extractor for
each pixel in a patch of image, after which the spectral features of all pixels
in a patch are combined and feeded into the subsequent classification
subnetwork. Finally, the whole network is further fine-tuned to improve its
classification performance. Specially, the spectral-spatial factorization
scheme is applied in our model architecture, making the network size and the
number of parameters great less than the existing spectral-spatial deep
networks for hyperspectral image classification. Experiments on the
hyperspectral data sets show that, compared with some state-of-art deep
learning methods, our method achieves better classification results while
having smaller network size and less parameters.

20
The categories of this paper are: acc-phys
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
29
The categories of this paper are: funct-an
13
The categories of this paper are: quant-ph
2
The categories of this paper are: math
35
The categories of this paper are: mtrl-th
11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
36
The categories of this paper are: cmp-lg
7
The categories of this paper are: hep-th
34
The categories of this paper are: chem-ph
9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg
4
The categories of this paper are: cond-mat
17
The categories of this paper are: q-fin