Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A recent developed band selection, called constrained band selection (CBS), makes use of constrained energy minimization (CEM) to constrain a single band to calculate its priority for band selection (BS).  extends such CEM-BS to a constrained multiple band selection (CMBS)-based method, to be called linearly constrained minimum variance multiple band-constrained selection (CMBS), which uses LCMV to constrain multiple bands to perform band subset selection. Since CMBS selects multiple bands as a band subset as a whole it does not require band prioritization (BP) or band de-correlation (BD) as traditional band selection (BS) usually does. Hover, CMBS is traded for one challenging issue, which is excessive computational complexity because it requires running through a total number of subsets in the por set of a full band set compared to BS which only needs to select one band at a time. In order to avoid exhaustive search for all band subsets in it por set, a sequential CMBS, successive CMBS (SC-CMBS) is developed to ease computational complexity.
['Hsiao-Chi Li', 'Chein-I Chang', 'Lin Wang', 'Yao Li']
I am writing a research paper on a idea Constrained multiple band selection for hyperspectral imagery
[{"from": "human", "value": "I am writing a research paper on a idea Constrained multiple band selection for hyperspectral imagery"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A recent developed band selection, called constrained band selection (CBS), makes use of constrained energy minimization (CEM) to constrain a single band to calculate its priority for band selection (BS).  extends such CEM-BS to a constrained multiple band selection (CMBS)-based method, to be called linearly constrained minimum variance multiple band-constrained selection (CMBS), which uses LCMV to constrain multiple bands to perform band subset selection. Since CMBS selects multiple bands as a band subset as a whole it does not require band prioritization (BP) or band de-correlation (BD) as traditional band selection (BS) usually does. Hover, CMBS is traded for one challenging issue, which is excessive computational complexity because it requires running through a total number of subsets in the por set of a full band set compared to BS which only needs to select one band at a time. In order to avoid exhaustive search for all band subsets in it por set, a sequential CMBS, successive CMBS (SC-CMBS) is developed to ease computational complexity."}]