Name
Title | ||
|---|---|---|
Multi-resolution and multi-spectral analysis for satellite images classification with fuzzy spatial relationships |
Abstract | ||
|---|---|---|
Hyperspectral sensors (HS) are next-generation optical sensors that have excellent spectroscopic performance with hundreds of spectral bands. Multispectral sensors (MS) are conventional optical sensors that have a few tens of spectral bands with high spatial resolution. This work aims to combine, the spectral information of the hyperspectral image with the spatial and spectral information of the multispectral image for automatic classification while considering spatial relationships between sources in low-spatial resolution data. The considered approach is validated first by using synthetic images from the USGS spectral library, but also using Hyperion sensor as hyperspectral image. And SPOT sensor as multispectral image, representing the region of Gabes Matmata in southern Tunisia. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/IPAS.2014.7043262 | Image Processing, Applications and Systems Conference |
Keywords | DocType | Citations |
fuzzy logic,fuzzy reasoning,geophysical image processing,hyperspectral imaging,image classification,optical sensors,remote sensing,spectral analysis,gabes matmata region,hs sensors,hyperion sensor,ms optical sensors,spot sensor,satellites pour l'observation de la terre,usgs spectral library synthetic image,united states geological survey,automatic image classification,conventional optical sensors,data source spatial relationship,earth-observing satellite sensor,fuzzy spatial relationships,high spatial resolution spectral bands,hyperspectral image information,hyperspectral sensors,low-spatial resolution data,multi-spectral image analysis,multiresolution image analysis,multispectral image spatial information,multispectral image spectral information,multispectral sensors,next-generation optical sensors,optical sensor spectral bands,optical sensor spectroscopic performance,satellite image classification,southern tunisia,hyperspectral image,multispectral image,spatial relationship,spatial resolution,spectral resolution,histograms,image segmentation,sensors | Conference | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mselmi, B. | 1 | 0 | 0.34 |
| Rabah, Z.B. | 2 | 0 | 0.34 |
| Imed Riadh Farah | 3 | 86 | 26.16 |
| Solaiman, B. | 4 | 0 | 0.34 |