Quantized ternary pattern and singular value decomposition for the efficient mining of sequences in SRSI images - Preethi, R. Angelin; Anandharaj, G. (SN applied sciences, 2020)
Keywords: Agricultural land; Algorithms; Applied and Technical Physics; Chemistry/Food Science; Computer applications; Data mining; Datasets; Decomposition; Earth Sciences; Engineering; Engineering: Digital Image Processing; Environment; Materials Science; Pattern analysis; Pattern generation; Pixels; Remote sensing; Research Article; Set theory; Singular value decomposition; Spatial data; Urban development; Vegetation; Vegetation cover; Quantized ternary pattern; Serial remote sensing images; Geo-spatial image processing; Run length coding; Singular value decomposition