Land Classification in Satellite Images by Injecting Traditional Features to CNN Models. (arXiv:2207.10368v1 [cs.CV])

Deep learning methods have been successfully applied to remote sensing
problems for several years. Among these methods, CNN based models have high
accuracy in solving the land classification problem using satellite or aerial
images. Although these models have high accuracy, this generally comes with
large memory size requirements. On the other hand, it is desirable to have
small-sized models for applications, such as the ones implemented on unmanned
aerial vehicles, with low memory space. Unfortunately, small-sized CNN models
do not …

arxiv classification cnn cv features images satellite satellite images