Darvishi, Moslem

School of Surveying & Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran.

[ 1 ] - Provide a Deep Convolutional Neural Network Optimized with Morphological Filters to Map Trees in Urban Environments Using Aerial Imagery

Today, we cannot ignore the role of trees in the quality of human life, so that the earth is inconceivable for humans without the presence of trees. In addition to their natural role, urban trees are also very important in terms of visual beauty. Aerial imagery using unmanned platforms with very high spatial resolution is available today. Convolutional neural networks based deep learning method...

نویسندگان همکار