CIDIS-FIEC, Escuela Superior Politécnica del Litoral (ESPOL), Campus Gustavo Galindo, Km 30.5 vía Perimetral, P.O. Box 09-01-5863, Guayaquil, Ecuador.
Computer Science Department, Universitat Autònoma de Barcelona, Campus UAB, 08193 Bellaterra, Barcelona, Spain.
Sensors (Basel). 2014 Feb 21;14(2):3690-701. doi: 10.3390/s140203690.
This manuscript evaluates the behavior of classical feature point descriptors when they are used in images from long-wave infrared spectral band and compare them with the results obtained in the visible spectrum. Robustness to changes in rotation, scaling, blur, and additive noise are analyzed using a state of the art framework. Experimental results using a cross-spectral outdoor image data set are presented and conclusions from these experiments are given.
本文评估了在长波红外光谱带图像中使用经典特征点描述符时的行为，并将其与在可见光谱中获得的结果进行了比较。使用最先进的框架分析了对旋转、缩放、模糊和附加噪声变化的鲁棒性。本文还展示了使用跨光谱户外图像数据集的实验结果，并给出了这些实验的结论。
