Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This letter presents a graph kernel for spatio-spectral remote sensing image classification with support vector machines (SVMs). The method considers higher order relations in the neighborhood (beyond pairwise spatial relations) to iteratively compute a kernel matrix for SVM learning. The proposed kernel is easy to compute and constitutes a porful alternative to existing approaches. The capabilities of the method are illustrated in several multi- and hyperspectral remote sensing images acquired over both urban and agricultural areas.
['Gustavo Camps-Valls', 'Nino Shervashidze', 'Karsten M. Borgwardt']
I am writing a research paper on a idea Spatio-Spectral Remote Sensing Image Classification With Graph Kernels
[{"from": "human", "value": "I am writing a research paper on a idea Spatio-Spectral Remote Sensing Image Classification With Graph Kernels"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This letter presents a graph kernel for spatio-spectral remote sensing image classification with support vector machines (SVMs). The method considers higher order relations in the neighborhood (beyond pairwise spatial relations) to iteratively compute a kernel matrix for SVM learning. The proposed kernel is easy to compute and constitutes a porful alternative to existing approaches. The capabilities of the method are illustrated in several multi- and hyperspectral remote sensing images acquired over both urban and agricultural areas."}]