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hiperespectral:sae-cd [2018/01/16 17:53] – [Outputs] javier.lopez.fandino | hiperespectral:sae-cd [2018/01/16 17:55] – [Abstract] javier.lopez.fandino | ||
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==== Abstract ==== | ==== Abstract ==== | ||
- | Change detection (CD) in multitemporal datasets is a key task in remote sensing. In this paper, a scheme to perform multiclass CD for remote sensing hyperspectral datasets extracting features by means of Stacked Autoencoders (SAEs) is introduced. The scheme combines multiclass and binary CD to obtain an accurate multiclass change map. The multiclass | + | Change detection (CD) in multitemporal datasets is a key task in remote sensing. In this paper, a scheme to perform multiclass CD for remote sensing hyperspectral datasets extracting features by means of Stacked Autoencoders (SAEs) is introduced. The scheme combines multiclass and binary CD to obtain an accurate multiclass change map. The multiclass CD begins with the fusion of the multitemporal data followed by feature extraction by SAE. The binary CD is based on the spectral |
- | CD begins with the fusion of the multitemporal data followed by feature extraction by SAE. The binary CD is based on | + | |
- | the spectral | + | |
- | lished | + | |