Multiscale analysis (Continued )
study site and data set, 148–149
for visualization of scale domain, 148
Multiscale erosion operation, 8
Multiscale Hermite transform (MHT), 8,
270–272, 282
defined, 270
domain, 269
Multiscale hybrid segmentation
algorithm, 176
Multiscale object-based image
analysis, 172–173, 191
analysis softwares, 172
Earth surface, 172
important aspects of, 172
ground objects, 172
image objects, 172
multiscale object representation, 173
object-oriented paradigm, 172
object-specific analysis, 173
scale-space object representation, 172
construction of, 172
segmentation procedure, 173
texture optimization procedure, 173
Multiscale object hierarchies, 176
Multiscale representation, of complex
agroforest landscape, 148
Multiscale segmentation, based on advanced
edge features, 177–181
Canny edge detector, 177
edge information, 177
line segment detector (LSD), 177
MSEG algorithm, 180–181
region merging segmentation, comparison
of, 178–180
Multiseasonal ASTER data, 203
Multispectral remote sensing data, 187–190
Multitemporal image object, 198
Multivariate alteration detection (MAD)
transformation, 202
Multivariate Gaussian distribution, 114,
123
NASA Aqua mission, 36
NASA TIR satellite instruments, 36
collection of TIR data from space, 36
design function, 36
NASA/NOAA mission, 36–37, 141
National forest inventory plot data, 112
National Polar-Orbiting Operational
Environmental Satellite System
(NPOESS), 37
NDVI. See Normalized difference vegetation
index (NDVI)
Near-infrared (NIR) bands, 82
Neural nets, 146
Neural networks, 108
Nonequilibrium thermodynamic theory, 50
Nonradiative fluxes, 51
Normalized difference vegetation index
(NDVI), 4, 38, 41–42, 45–46, 68,
86, 87, 90, 93, 95, 127
MODIS data, 4
relationships between temperature and
vegetation
triangle concept, 42
values, 83
North American Land Data Assimilation
System (NLDAS), 41
OBIA. See Object-based image analysis
(OBIA)
Object-based change detection, 198, 202.
See also Object-based image
analysis (OBIA)
approaches, 198
multitemporal image object change
classification, 198
optimum scale, selection, 202
post-object-based classification
comparison, 198
Object-based classification, 171
accuracy, 185
framework, 173
post-object-based classification
comparison, 198
remotely sensed imagery, 171
vs. pixel-based approaches, 171
Object-based image analysis (OBIA), 5, 7,
73, 175, 176, 197–199
accuracy assessment, 199
application oriented studies, 201, 202
classified topography from SRTM data
using, 202
contextual relationships, 198
developed framework steps, 176
differentiation, inter- and intra-annual
dynamics, 202
330
INDEX
study site and data set, 148–149
for visualization of scale domain, 148
Multiscale erosion operation, 8
Multiscale Hermite transform (MHT), 8,
270–272, 282
defined, 270
domain, 269
Multiscale hybrid segmentation
algorithm, 176
Multiscale object-based image
analysis, 172–173, 191
analysis softwares, 172
Earth surface, 172
important aspects of, 172
ground objects, 172
image objects, 172
multiscale object representation, 173
object-oriented paradigm, 172
object-specific analysis, 173
scale-space object representation, 172
construction of, 172
segmentation procedure, 173
texture optimization procedure, 173
Multiscale object hierarchies, 176
Multiscale representation, of complex
agroforest landscape, 148
Multiscale segmentation, based on advanced
edge features, 177–181
Canny edge detector, 177
edge information, 177
line segment detector (LSD), 177
MSEG algorithm, 180–181
region merging segmentation, comparison
of, 178–180
Multiseasonal ASTER data, 203
Multispectral remote sensing data, 187–190
Multitemporal image object, 198
Multivariate alteration detection (MAD)
transformation, 202
Multivariate Gaussian distribution, 114,
123
NASA Aqua mission, 36
NASA TIR satellite instruments, 36
collection of TIR data from space, 36
design function, 36
NASA/NOAA mission, 36–37, 141
National forest inventory plot data, 112
National Polar-Orbiting Operational
Environmental Satellite System
(NPOESS), 37
NDVI. See Normalized difference vegetation
index (NDVI)
Near-infrared (NIR) bands, 82
Neural nets, 146
Neural networks, 108
Nonequilibrium thermodynamic theory, 50
Nonradiative fluxes, 51
Normalized difference vegetation index
(NDVI), 4, 38, 41–42, 45–46, 68,
86, 87, 90, 93, 95, 127
MODIS data, 4
relationships between temperature and
vegetation
triangle concept, 42
values, 83
North American Land Data Assimilation
System (NLDAS), 41
OBIA. See Object-based image analysis
(OBIA)
Object-based change detection, 198, 202.
See also Object-based image
analysis (OBIA)
approaches, 198
multitemporal image object change
classification, 198
optimum scale, selection, 202
post-object-based classification
comparison, 198
Object-based classification, 171
accuracy, 185
framework, 173
post-object-based classification
comparison, 198
remotely sensed imagery, 171
vs. pixel-based approaches, 171
Object-based image analysis (OBIA), 5, 7,
73, 175, 176, 197–199
accuracy assessment, 199
application oriented studies, 201, 202
classified topography from SRTM data
using, 202
contextual relationships, 198
developed framework steps, 176
differentiation, inter- and intra-annual
dynamics, 202
330
INDEX