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Local block multilayer sparse extreme learning machine for effective feature extraction and classification of hyperspectral images

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Academic year: 2019

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Figure

Fig. 1. Comparison of frameworks of the ELM (a), the proposed MSELM (b) and the proposed LBMSELM (c)
Fig. 2. Graphical example of MRF                                                                            Fig
TABLE 2. CLASSIFICATION ACCURACY (%) AND STANDARD DEVIATION WITH 10 TRAINING SAMPLES PER CLASS IN PAVIA UNIVERSITY DATASET (BEST )
TABLE DIFFERENT NUMBERS OF 4. CLASSIFICATION ACCURACY (%) AND STANDARD DEVIATION WITH TRAINING SAMPLES IN PAVIA UNIVERSITY DATASET (B)
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