An efficient Algorithm to extract road network from high resolution satellite images
Road Detection from Remote Sensing Imagery using Deep Learning Techniques
Some Simple Scripts for plotting scientific data in Python for use in comparing spectrum characteristics between different optical filters and for examining the color spectrum histogram of RAW test images for use in developing differential indices used in remote sensing applications.
a novel change detection method for high resolution remote sensing images based on edge mapping and deep learning
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Land use classification or Landform delineation on remote sensing images. Specifically, this repo is to delineate landforms due to the thawing of ice-rich permafrost using Deep Learning.
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://towardsdatascience.com/is-cnn-equally-shiny-on-mid-resolution-satellite-data-9e24e68f0c08