Hyperspectral Image Classification Through Bilayer Graph-Based Learning

Hyperspectral Image Classification Through Bilayer Graph-Based Learning Abstract: Hyperspectral image classification with limited number of labeled pixels is a challenging task. In this paper, we propose a bilayer graph-based learning framework to address this problem. For graph-based classification, how to establish the neighboring relationship among the pixels from the high dimensional features is the key […]


Fingerprint Compression Based on Sparse Representation

Fingerprint Compression Based on Sparse Representation Abstract: A new fingerprint compression algorithm based on sparse representation is introduced. Obtaining an overcomplete dictionary from a set of fingerprint patches allows us to represent them as a sparse linear combination of dictionary atoms. In the algorithm, we first construct a dictionary for predefined fingerprint image patches. For […]