Name
Title | ||
|---|---|---|
A Novel Adaptive Scheme for Evaluating Spectral Similarity in High-Resolution Urban Scenes |
Abstract | ||
|---|---|---|
The analysis of high-spatial-resolution urban images for object recognition must deal with variable illumination conditions and many spectrally similar materials in the built environment. Spectral similarity measures have the potential to contribute to the effective analysis of urban scenes, however, without readily available surface reflectance conversion, the characteristics of existing spectral measures may lead to unacceptable performance. To better account for these spectral imaging scenarios for an urban environment, a simplified in-scene radiometric calibration approach is presented to preserve data collinearity, and a novel spectral similarity measure based on the geometric characteristics of the Mahalanobis distance is developed to incorporate both spectral direction and spectral magnitude. With a minimum of human input to define representative pixels, the experimental results demonstrate through the analysis of ROC curves the potential advantages of the novel distance measure when applied to the identification of materials in urban images. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/JSTARS.2013.2254702 | Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of |
Keywords | Field | DocType |
calibration,distance measurement,geophysical image processing,image resolution,object recognition,radiometers,remote sensing,mahalanobis distance,roc curve analysis,adaptive scheme,built environment,data collinearity,high-resolution urban scene analysis,high-spatial-resolution urban images,human input,material identification,representative pixels,simplified in-scene radiometric calibration approach,spectral direction,spectral imaging scenarios,spectral magnitude,spectral similarity,surface reflectance conversion,urban environment,euclidean distance (ed),mahalanobis distance (md),high resolution,radiometric conversion,spectral angle mapper (sam),spectral correlation mapper (scm),spectral information divergence (sid) | Radiometric calibration,Computer vision,Collinearity,Spectral imaging,Similarity measure,Remote sensing,Mahalanobis distance,Pixel,Artificial intelligence,Image resolution,Mathematics,Cognitive neuroscience of visual object recognition | Journal |
Volume | Issue | ISSN |
6 | 3 | 1939-1404 |
Citations | PageRank | References |
1 | 0.38 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bin Chen | 1 | 3 | 0.77 |
| Vodacek, A. | 2 | 1 | 0.71 |
| Cahill, N.D. | 3 | 1 | 0.38 |