@article{fdi:010044148,
  title = {{R}apid urban mapping using {SAR}/optical imagery synergy},
  author = {{C}orbane, {C}hristina and {F}aure, {J}ean-{F}ran{\c{c}}ois and {B}aghdadi, {N}. and {V}illeneuve, {N}icolas and {P}etit, {M}ichel},
  editor = {},
  language = {{ENG}},
  abstract = {{T}his paper highlights the potential of combining {S}ynthetic {A}perture {R}adar ({SAR}) and optical data for operational rapid urban mapping. {A}n algorithm consisting of a completely unsupervised procedure for processing pairs of co-registered {SAR}/optical images is proposed. {I}n a first stage, a texture analysis is conducted independently on the two images using eight different chain-based {G}aussian models. {I}n a second stage, the resulting texture images are partitioned by an unsupervised fuzzy {K}-means approach. {F}inally, a fuzzy decision rule is used to aggregate the results provided by the classification of texture images obtained from the pair of {SAR} and optical images. {T}he method was tested and validated on images of {B}ucharest ( {R}omania) and {C}ayenne ( {F}rench {G}uiana). {T}hese two study areas are of different terrain relief, urban settlement structure and land cover complexity. {T}he data set included {R}adarsat-1/{ENVISAT} and {SPOT}-4/5 images. {T}he developed {SAR}/optical information fusion scheme improved the capabilities of urban areas extraction when compared with the separate use of {SAR} and optical sensors. {I}t also proved to be suitable for monitoring urbanization development. {T}he encouraging results thus confirm the potential of combining information from {SAR} and optical sensors for timely urban area analysis, as required in cases of disaster management and planning in urban sprawl areas.},
  keywords = {{SAR} sensors ; optical sensors ; texture analysis ; fuzzy {K}-means ; classification ; information fusion ; rapid urban mapping},
  booktitle = {},
  journal = {{S}ensors},
  volume = {8},
  numero = {11},
  pages = {7125--7143},
  ISSN = {1424-8220},
  year = {2008},
  DOI = {10.3390/s8117125},
  URL = {https://www.documentation.ird.fr/hor/fdi:010044148},
}