Krahasoni metodat

	Klasifikimi me teledetektim	Analiza Hapësinore Bazuar në Rrjet
Fusha	Analiza hapësinore	Analiza hapësinore
Familja	Regression model	Regression model
Viti i origjinës	1970s–present	1990s–2000s
Krijuesi	Swain & Davis (1978); Lillesand & Kiefer (classical textbook treatments)	Atsuyuki Okabe and colleagues
Lloji	Supervised / unsupervised image classification	Spatial network model
Burimi themelues	Lillesand, T. M., Kiefer, R. W., & Chipman, J. W. (2015). Remote Sensing and Image Interpretation (7th ed.). Wiley. ISBN: 978-1118343289	Okabe, A., Satoh, T., Furuta, T., Sugihara, K., & Okano, K. (2006). Generalized network Voronoi diagrams: Concepts, computational methods, and applications. International Journal of Geographical Information Science, 22(9), 965–994.
Emërtime të tjera	land cover classification, image classification, satellite image classification, spectral classification	network spatial analysis, network-constrained spatial analysis, spatial network analysis, NBSA
Të lidhura	4	3
Përmbledhja	Remote sensing classification assigns discrete thematic labels — such as forest, urban, water, or cropland — to pixels in a satellite or aerial image based on their spectral, spatial, and temporal properties. It underpins land-use/land-cover mapping, change detection, environmental monitoring, and disaster response at local to global scales.	Network-based spatial analysis (NBSA) analyzes the distribution and interaction of spatial phenomena constrained to a network structure — such as roads, railways, or rivers — using network distance rather than straight-line (Euclidean) distance. It is the appropriate framework whenever movement, proximity, or risk is governed by the underlying network topology rather than open space.