Fig. 1. Gray scale and pseudo colour images of experimental data 1

Fig. 2. Gray scale and pseudo colour images of experimental data 2

Fig. 3. The classification accuracies of the three algorithm are affected by the parameter setting
(a): The number of neighborhoods and KNN classification accuracy; (b): K and SRC classification accuracy;(c): Regularization parameter λ and CRC classification accuracy

Fig. 4. The classification accuracy of CCASRC algorithm is impacted by the parameters λ and N

Fig. 5. Classification results of various classification methods in the background of green space
(a): K-means; (b): KNN; (c): SRC; (d): CRC; (e): ASRC; (f): CCASRC

Fig. 6. Matrix histogram of various classification method OA

Fig. 7. Classification results of various methods in desert background
(a): SRC; (b): CRC; (c): ASRC; (d): CCASRC