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[IEEE 2019 IEEE International Conference on Electron Devices and Solid-State Circuits (EDSSC) - Xi'an, China (2019.6.12-2019.6.14)] 2019 IEEE International Conference on Electron Devices and Solid-State Circuits (EDSSC) - A Non-Ohmic Normally-off GaN RB-MISHEMT Featuring a Gate-Controlled Schottky Tunnel Junction
摘要: Due to the limited number of spectral channels in multispectral remote sensing images, change information, especially the multiclass changes, may be insuf?ciently represented, resulting in inaccurate detection of changes. In this paper, we propose to use unsupervised band expansion techniques to generate arti?cial spectral and spatial bands to enhance the change representation and discrimination for change detection (CD) from multispectral images. In particular, in the proposed approach, two simple nonlinear functions, i.e., multiplication and division, are applied for spectral expansion. Multiscale morphological reconstruction is used to extend the band spatial information. The expanded band sets are then used and validated in three popular unsupervised CD techniques for solving a multiclass CD problem. Experimental results obtained on three real bitemporal multispectral remote sensing datasets con?rm the effectiveness of the proposed approach.
关键词: Change detection (CD),remote sensing,nonlinear band expansion,change vector analysis,multitemporal analysis,multispectral images,dimensionality expansion
更新于2025-09-11 14:15:04