Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   address the problem of urban optical imagery classification by developing a convolutional neural network (CNN) approach.  design a custom CNN that operates on local patches in order to produce dense pixel-level classification map. In this work  focus on a comprehensive dataset of 2.5-meter SPOT-5 imagery acquired at different dates and sites. The performance of the proposed model is validated on a five target-class problem and compared with a benchmark random forest classifier with a set of hand-picked features.
['Vladimir A. Krylov', 'Michaela De Martino', 'Gabriele Moser', 'Sebastiano B. Serpico']
I am writing a research paper on a idea Large urban zone classification on SPOT-5 imagery with convolutional neural networks
[{"from": "human", "value": "I am writing a research paper on a idea Large urban zone classification on SPOT-5 imagery with convolutional neural networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   address the problem of urban optical imagery classification by developing a convolutional neural network (CNN) approach.  design a custom CNN that operates on local patches in order to produce dense pixel-level classification map. In this work  focus on a comprehensive dataset of 2.5-meter SPOT-5 imagery acquired at different dates and sites. The performance of the proposed model is validated on a five target-class problem and compared with a benchmark random forest classifier with a set of hand-picked features."}]