Order Article Reprints

Samat A, Yokoya N, Du P, Liu S, Ma L, Ge Y, Issanova G, Saparov A, Abuduwaili J, Lin C. Direct, ECOC, ND and END Frameworks—Which One Is the Best? An Empirical Study of Sentinel-2A MSIL1C Image Classification for Arid-Land Vegetation Mapping in the Ili River Delta, Kazakhstan. Remote Sensing. 2019; 11(16):1953. https://doi.org/10.3390/rs11161953

Samat, Alim, Naoto Yokoya, Peijun Du, Sicong Liu, Long Ma, Yongxiao Ge, Gulnura Issanova, Abdula Saparov, Jilili Abuduwaili, and Cong Lin. 2019. "Direct, ECOC, ND and END Frameworks—Which One Is the Best? An Empirical Study of Sentinel-2A MSIL1C Image Classification for Arid-Land Vegetation Mapping in the Ili River Delta, Kazakhstan" Remote Sensing 11, no. 16: 1953. https://doi.org/10.3390/rs11161953

Samat, A., Yokoya, N., Du, P., Liu, S., Ma, L., Ge, Y., Issanova, G., Saparov, A., Abuduwaili, J., & Lin, C. (2019). Direct, ECOC, ND and END Frameworks—Which One Is the Best? An Empirical Study of Sentinel-2A MSIL1C Image Classification for Arid-Land Vegetation Mapping in the Ili River Delta, Kazakhstan. Remote Sensing, 11(16), 1953. https://doi.org/10.3390/rs11161953