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.
Alim SamatNaoto YokoyaPeijun DuSicong LiuLong MaYongxiao GeGulnura IssanovaAbdula SaparovJilili AbuduwailiCong LinPublished in: Remote. Sens. (2019)
Keyphrases
- image classification
- soil erosion
- landsat tm
- land cover
- satellite images
- remotely sensed data
- natural environment
- remote sensing
- change detection
- land use change
- bag of words
- remote sensing images
- multi class
- qualitative evaluation
- image representation
- multispectral
- feature extraction
- high resolution
- remote sensing data
- multiclass classification
- svm classifier
- image features
- digital elevation models
- water quality
- visual words
- error correcting output coding
- cross validation
- yangtze river