Jb. Collins et Ce. Woodcock, CHANGE DETECTION USING THE GRAMM-SCHMIDT TRANSFORMATION APPLIED TO MAPPING FOREST MORTALITY, Remote sensing of environment, 50(3), 1994, pp. 267-279
Coordinate scores of appropriately rotated multitemporal TM pixel vect
ors directly measure scene change. A successful transformation require
s initial identification of a subset of multispectral space containing
all unchanged pixel vectors, and subsequent definition of axes which
measure the displacement of pixel vectors from this space. Carefully s
elected pixel vectors guide the Gramm-Schmidt orthogonalization proces
s to produce such a transformation. A Gramm-Schmidt analysis of a mult
itemporal Thematic Mapper image of the Lake Tahoe Basin produces compo
nents which correspond to identifiable scene characteristics, are easi
ly interpretable, and correlate highly with field measurements of coni
fer mortality.