Compressively sensed image recognition
Compressive Sensing (CS) theory asserts that sparse signal reconstruction is possible from
a small number of linear measurements. Although CS enables low-cost linear sampling, it …
a small number of linear measurements. Although CS enables low-cost linear sampling, it …
Aerial image matching method based on HSI hash learning
S Chen, R Feng, Y Zhang, C Zhang - Pattern recognition letters, 2019 - Elsevier
Specific to characteristics of aerial images like large size, high resolution and rich edges and
texture, HSI hash learning matching algorithm for aerial image is proposed. Firstly, the …
texture, HSI hash learning matching algorithm for aerial image is proposed. Firstly, the …
Advances in Sparse Representation: Efficient modeling and applications
M Yamac - 2024 - trepo.tuni.fi
This dissertation investigates the analysis of linear systems of equations, particularly
focusing on underdetermined systems where the solution vector is sparse or approximately …
focusing on underdetermined systems where the solution vector is sparse or approximately …