RMSE values of different algorithms for different bands in the "Kherson" region. حسب YueSheng Jiang (19267984)

RMSE values of different algorithms for different bands in the "PY" region. حسب YueSheng Jiang (19267984)

Results of searching performance of different algorithm models on the Sphere function and Griewank function. حسب Rui Zhang (13940)

"…<p>Results of searching performance of different algorithm models on the Sphere function and Griewank function.…"

Results of searching performance of the improved NAG algorithm on Sphere function and Griewank function. حسب Rui Zhang (13940)

Comparison between different PSO algorithms on function 4–6. حسب Lai Xu (1828831)

Comparison between different PSO algorithms on function 1–3. حسب Lai Xu (1828831)

Comparison between different PSO algorithms on function 7–8. حسب Lai Xu (1828831)

Similarity between the allegiance matrices of the multiplex SC-FC graph, the FC graph alone, and the SC graph alone, as a function of the topological scale for the group. حسب Arian Ashourvan (6685232)

Performance validation of different algorithms in two benchmark functions. حسب Wenjing Wang (181404)

الموضوعات:

Diagram of the algorithm used during the training phase. حسب Ana P. Arantes (17131753)

The ALO algorithm optimization flowchart. حسب Wenjing Wang (181404)

الموضوعات:

The IALO algorithm solution flowchart. حسب Wenjing Wang (181404)

الموضوعات:

Comparison of convergence curves of different algorithms. حسب Wenjing Wang (181404)

الموضوعات:

RMSE results. حسب YueSheng Jiang (19267984)

"…To overcome these limitations, this paper developed a simple and fast adaptive remote sensing image Spatio-Temporal fusion method based on Fit-FC, called Adapt Lasso-Fit-FC (AL-FF). Firstly, the sparse characteristics of time phase change between images are explored, and a time phase change estimation model based on sparse regression is constructed, which overcomes the fuzzy problem of fusion image caused by the failure of linear regression to capture complex nonlinear time phase transition in the weighted Function method, making the algorithm better at capturing details. …"

Results of the Kherson Area Visual Assessment. حسب YueSheng Jiang (19267984)

"…To overcome these limitations, this paper developed a simple and fast adaptive remote sensing image Spatio-Temporal fusion method based on Fit-FC, called Adapt Lasso-Fit-FC (AL-FF). Firstly, the sparse characteristics of time phase change between images are explored, and a time phase change estimation model based on sparse regression is constructed, which overcomes the fuzzy problem of fusion image caused by the failure of linear regression to capture complex nonlinear time phase transition in the weighted Function method, making the algorithm better at capturing details. …"

Work flow chart. حسب YueSheng Jiang (19267984)

"…To overcome these limitations, this paper developed a simple and fast adaptive remote sensing image Spatio-Temporal fusion method based on Fit-FC, called Adapt Lasso-Fit-FC (AL-FF). Firstly, the sparse characteristics of time phase change between images are explored, and a time phase change estimation model based on sparse regression is constructed, which overcomes the fuzzy problem of fusion image caused by the failure of linear regression to capture complex nonlinear time phase transition in the weighted Function method, making the algorithm better at capturing details. …"

Experimental data. حسب YueSheng Jiang (19267984)

"…To overcome these limitations, this paper developed a simple and fast adaptive remote sensing image Spatio-Temporal fusion method based on Fit-FC, called Adapt Lasso-Fit-FC (AL-FF). Firstly, the sparse characteristics of time phase change between images are explored, and a time phase change estimation model based on sparse regression is constructed, which overcomes the fuzzy problem of fusion image caused by the failure of linear regression to capture complex nonlinear time phase transition in the weighted Function method, making the algorithm better at capturing details. …"

Results of the PY area visual assessment. حسب YueSheng Jiang (19267984)

"…To overcome these limitations, this paper developed a simple and fast adaptive remote sensing image Spatio-Temporal fusion method based on Fit-FC, called Adapt Lasso-Fit-FC (AL-FF). Firstly, the sparse characteristics of time phase change between images are explored, and a time phase change estimation model based on sparse regression is constructed, which overcomes the fuzzy problem of fusion image caused by the failure of linear regression to capture complex nonlinear time phase transition in the weighted Function method, making the algorithm better at capturing details. …"

Comparison of the improved LRM and RM results. حسب YueSheng Jiang (19267984)

Result charts for different window sizes. حسب YueSheng Jiang (19267984)