PMID- 27706048
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20180126
LR  - 20230412
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 16
IP  - 10
DP  - 2016 Sep 30
TI  - Assessment of Data Fusion Algorithms for Earth Observation Change Detection 
      Processes.
LID - 1621
AB  - In this work a parametric multi-sensor Bayesian data fusion approach and a 
      Support Vector Machine (SVM) are used for a Change Detection problem. For this 
      purpose two sets of SPOT5-PAN images have been used, which are in turn used for 
      Change Detection Indices (CDIs) calculation. For minimizing radiometric 
      differences, a methodology based on zonal "invariant features" is suggested. The 
      choice of one or the other CDI for a change detection process is a subjective 
      task as each CDI is probably more or less sensitive to certain types of changes. 
      Likewise, this idea might be employed to create and improve a "change map", which 
      can be accomplished by means of the CDI's informational content. For this 
      purpose, information metrics such as the Shannon Entropy and "Specific 
      Information" have been used to weight the changes and no-changes categories 
      contained in a certain CDI and thus introduced in the Bayesian information fusion 
      algorithm. Furthermore, the parameters of the probability density functions 
      (pdf's) that best fit the involved categories have also been estimated. 
      Conversely, these considerations are not necessary for mapping procedures based 
      on the discriminant functions of a SVM. This work has confirmed the capabilities 
      of probabilistic information fusion procedure under these circumstances.
FAU - Molina, Inigo
AU  - Molina I
AD  - ETSITGC, Technical University of Madrid, 28031 Madrid, Spain. 
      inigo.molina@upm.es.
FAU - Martinez, Estibaliz
AU  - Martinez E
AD  - ETSIInf, Technical University of Madrid, 28031 Madrid, Spain. 
      mariaestibaliz.martinez@upm.es.
FAU - Morillo, Carmen
AU  - Morillo C
AD  - ETSITGC, Technical University of Madrid, 28031 Madrid, Spain. 
      cmorillo@topografia.upm.es.
FAU - Velasco, Jesus
AU  - Velasco J
AD  - ETSITGC, Technical University of Madrid, 28031 Madrid, Spain. 
      jesus.velasco@upm.es.
FAU - Jara, Alvaro
AU  - Jara A
AD  - ETSIInf, Technical University of Madrid, 28031 Madrid, Spain. amjgalan@gmail.com.
LA  - eng
PT  - Journal Article
DEP - 20160930
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
PMC - PMC5087409
OTO - NOTNLM
OT  - Support Vector Machine
OT  - change detection
OT  - informational metrics
OT  - quality assessment
OT  - radiometric normalization
OT  - sensor fusion
OT  - thresholding
COIS- The authors declare no conflict of interest.
EDAT- 2016/10/06 06:00
MHDA- 2016/10/06 06:01
PMCR- 2016/09/30
CRDT- 2016/10/06 06:00
PHST- 2016/07/22 00:00 [received]
PHST- 2016/09/16 00:00 [revised]
PHST- 2016/09/22 00:00 [accepted]
PHST- 2016/10/06 06:00 [entrez]
PHST- 2016/10/06 06:00 [pubmed]
PHST- 2016/10/06 06:01 [medline]
PHST- 2016/09/30 00:00 [pmc-release]
AID - s16101621 [pii]
AID - sensors-16-01621 [pii]
AID - 10.3390/s16101621 [doi]
PST - epublish
SO  - Sensors (Basel). 2016 Sep 30;16(10):1621. doi: 10.3390/s16101621.