Name
Title | ||
|---|---|---|
Estimating Class Dynamics for Fuzzy Markov Chain-Based Multitemporal Cascade Classification |
Abstract | ||
|---|---|---|
The key component of a fuzzy Markov chain (FMC)-based multitemporal cascade classifier is the transition possibility matrix (TPM). Such matrix represents the temporal dynamics of the land use/land cover classes in the target site in a given time period. The choice of the TPM estimation approach is a crucial step in the design of FMC-based classifiers, as it strongly influences the final classification accuracy. Moreover, the task of collecting training data may involve considerable effort, since the number of transitions to be represented grows with the square of the number of classes in the application. In spite of their relevance, the TPM estimation has only been addressed superficially in previous publications about FCM-based classification methods. In this letter, we concern some of those aspects and investigate alternative ways of the TPM estimation. Experimental analysis on a multitemporal data set covering a 20-year period sheds light on the conditions under which those alternative estimation approaches may be used, as well as on their impact over the classification performance. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/LGRS.2012.2236640 | Geoscience and Remote Sensing Letters, IEEE |
Keywords | Field | DocType |
Markov processes,fuzzy logic,geophysical image processing,image classification,terrain mapping,FMC based multitemporal cascade classifier,TPM estimation approach,class dynamics estimation,classification accuracy,fuzzy Markov chain based multitemporal cascade classification,land cover class temporal dynamics,land use class temporal dynamics,training data,transition possibility matrix,Fuzzy Markov chains (FMCs),multitemporal cascade classification,object-based image analysis | Data mining,Markov process,Matrix (mathematics),Remote sensing,Artificial intelligence,Contextual image classification,Land cover,Cascading classifiers,Fuzzy logic,Markov chain,Cascade,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
10 | 4 | 1545-598X |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raul Q. Feitosa | 1 | 0 | 1.01 |
| Guilherme Mota | 2 | 8 | 3.48 |
| Andrei Olak Alves | 3 | 0 | 0.34 |
| Gilson Alexandre Ostwald Pedro da Costa | 4 | 42 | 9.03 |