most citedOrthoSeg: A Deep Multimodal Convolutional Neural Network for Semantic Segmentation of Orthoimagery

3 citations · 3 across the 1 of their papers we have counts for

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cs.CV2018★ 3 cited

OrthoSeg: A Deep Multimodal Convolutional Neural Network for Semantic Segmentation of Orthoimagery

Pankaj Bodani, Kumar Shreshtha, Shashikant Sharma

This paper addresses the task of semantic segmentation of orthoimagery using multimodal data e.g. optical RGB, infrared and digital surface model. We propose a deep convolutional n…