Apr 29, 2019 · These algorithms have been widely applied to satellite remote sensing hyperspectral images, and the resolution of each image is relatively low.
A two-stage framework of target detection in high-resolution hyperspectral images. https://doi.org/10.1007/s11760-019-01470-z. Journal: Signal, Image and ...
Compared with the two methods, 3D-DWT SGLasso gives higher accuracies in the first two cases. The reason may be that the PaviaU data has high spatial resolution ...
It contains five key steps. Firstly, bands selection of LHHSI is used to reduce spectral dimension of LHHSIs. Second, we extract candidate SSIPs from the LHHSIs ...
Missing: two- stage
The framework includes two stages: in Stage one, a new spectral curve spatial pyramid matching model called SC-SPM is established to search the potential target ...
In this paper, we propose a two-stage deep domain adaptation method for hyperspectral image classification, which can minimize the data shift between two ...
Missing: detection | Show results with:detection
A two-stage framework of target detection in high-resolution hyperspectral images. Article 29 April 2019. Keywords. Hyperspectral image · small target detection ...
To further improve target detection performance of hyperspectral image, this paper presents a novel method named multi-scale analysis-based target detection ...
A two-stage framework of target detection in high-resolution hyperspectral images · Environmental Science, Engineering. Signal, Image and Video Processing · 2019.
The first one consists in inverting radiometric models, such as the popular MODTRAN [15]. The second one tends to identify specific ground targets with known ...