Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This work presents a framework to extract tree crowns from remotely sensed data, especially in plantation images, using stochastic geometry.  aim at finding the tree top positions, and the tree crown diameter distribution. Our approach consists in considering that these images are some realizations of a marked point process. First  model the tree plantation as a configuration of an unknown number of ellipses. Then, a Bayesian energy is defined, containing both a prior energy which incorporates the prior knowledge of the plantation geometric properties, and a likelihood which fits the objects to the data. Eventually,  estimate the global minimum of this energy using reversible jump Markov Chain Monte Carlo dynamics and a simulated annealing scheme.  present results on optical aerial images of poplars provided by IFN.
['G. Perrin', 'Xavier Descombes', 'Josiane Zerubia']
I am writing a research paper on a idea A marked point process model for tree crown extraction in plantations
[{"from": "human", "value": "I am writing a research paper on a idea A marked point process model for tree crown extraction in plantations"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This work presents a framework to extract tree crowns from remotely sensed data, especially in plantation images, using stochastic geometry.  aim at finding the tree top positions, and the tree crown diameter distribution. Our approach consists in considering that these images are some realizations of a marked point process. First  model the tree plantation as a configuration of an unknown number of ellipses. Then, a Bayesian energy is defined, containing both a prior energy which incorporates the prior knowledge of the plantation geometric properties, and a likelihood which fits the objects to the data. Eventually,  estimate the global minimum of this energy using reversible jump Markov Chain Monte Carlo dynamics and a simulated annealing scheme.  present results on optical aerial images of poplars provided by IFN."}]