A curated list of resources focused on Machine Learning in Geospatial Data Science.
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deeplab_v3 by anxiangSir | Github
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Kaggle Hackathon with Tensorflow - Satellite Image Classification (2017) by Machine Learning Society
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Satellite Image Segmentation: a Workflow with U-Net (2017) by Chevallier, G. | Vooban
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raster-vision: deep learning for aerial/satellite imagery by Azavea | Github
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Using Convolutional Neural Networks to detect features in satellite images (2017) by Taspinar, A.
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Caffe CNN-based classification of hyperspectral images on GPU (2018) by Garea, A.S., Heras, D.B., and Argüello, F. | The Journal of Supercomputing, p. 1-13
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Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community (2017) by Ball, J.E., Anderson, D.T., and Chan, C.S. | Journal of Applied Remote Sensing, v. 11, p. 54
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Deep learning for visual understanding: A review (2016) by Guo, Y., Liu, Y., Oerlemans, A., Lao, S., Wu, S., and Lew, M.S. | Neurocomputing, v. 187, p. 27-48
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Sensing Urban Land-Use Patterns by Integrating Google Tensorflow and Scene-Classification Models (2017) by Yao, Y., Liang, H., Li, X., Zhang, J., and He, J. | arXiv
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TensorFlow: A System for Large-Scale Machine Learning (2016) by Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R., Moore, S., Murray, D.G., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., Wicke, M., Yu, Y., and Zheng, X. | arXiv
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Advances in Artificial Systems for Medicine and Education (2018) by Hu, Z., Petoukhov, S., and He, M. | Springer
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Data processing, in Physical Principles of Remote Sensing (2001) by Rees, W.G. | Cambridge University Press
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Deep Learning with Applications Using Python (2018) by Manaswi, N.K. | Apress
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Digital Signal Processing and Spectral Analysis for Scientists (2016) by Alessio, S.M. | Springer
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Hyperspectral Remote Sensing: Fundamentals and Practices (2017) by Pu, R. | CRC Press
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Image Classification, in The SAGE Handbook of Remote Sensing (2009) by Jensen, J.R., Im, J., Hardin, P., and Jensen, R.R. | SAGE Publications
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Image Processing, in Introduction to Deep Learning Business Applications for Developers (2018)by Vieira, A., and Ribeiro, B. | Apress
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Image Processing and GIS for Remote Sensing: Techniques and Applications (2016) by Liu, J.G., and Mason, P.J. | Wiley
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Mathematical Models for Remote Sensing Image Processing (2018) by Moser, G., and Zerubia, J. | Springer
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Machine Learning Applications for Earth Observation, Earth Observation Open Science and Innovation (2018) by Lary, D.J., Zewdie, G.K., Liu, X., Wu, D., Levetin, E., Allee, R.J., Malakar, N., Walker, A., Mussa, H., Mannino, A., and Aurin, D. | Springer
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Principles of Applied Remote Sensing (2016) by Khorram, S., van der Wiele, C.F., Koch, F.H., Nelson, S.A.C., and Potts, M.D. | Springer
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Pro Deep Learning with TensorFlow (2017) by Pattanayak, S. | Apress
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Remote Sensing Digital Image Analysis (2013) by Richards, J.A. | Springer
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Remotely Sensed Data Characterization, Classification, and Accuracies (2015) by Thenkabail, P.S. | CRC Press
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Remote Sensing Image Fusion (2015) by Alparone, L., Aiazzi, B., Baronti, S., and Garzelli, A. | CRC
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Remote Sensing Imagery (2014) by Tupin, F., Inglada, J., and Nicolas, J.-M. | Wiley
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TensorFlow Machine Learning Cookbook (2017) by McClure, N. | Packt
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Classification Models (2018) by alteryx and tab|eau | Udacity
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Deep Learning (2018) by kaggle
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Intro to Deep Learning (2018) by Google | Udacity
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Intro to Machine Learning (2018) by kaggle | Udacity
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Learn TensorFlow and deep learning, without a Ph.D (2017) by Görner, M.
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Machine Learning Crash Course with TensorFlow APIs (2018) by Google
Inspired by awesome-tensorflow