Support Tensor Machines for Classification of Hyperspectral Remote ...
Abstract?This letter aims to discuss a general framework that allows the direct interpretation of the wrapped DInSAR phase in terms of surface strain S and ...
A geometric matched filter for hyperspectral target detection and ...Abstract?Change detection in Synthetic Aperture Radar im- agery is challenging due to noise, complex non-linear features, and variations in underlying data ... Image Processing and Machine Learning for Hyperspectral UnmixingHe, ?Infrared small target detection utiliz- ing halo structure prior-based local contrast measure,? IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1? ... Estimating strain and rotation from wrapped SAR interferograms[15] Z. Chen and B. Wang, ?Hyperspectral target detection based on tensor sparse representation,? IEEE Geoscience and Remote Sensing Letters,.
Autres Cours:
