Monitoring spatial sustainable development: Semi-automated analysis of
satellite and aerial images for energy transition and sustainability
indicators

Monitoring spatial sustainable development: Semi-automated analysis of satellite and aerial images for energy transition and sustainability indicators

11 October 2018

Katharina Cramer

Natalie Rosenski

Clara Schartner

Stefano Bromuri

Papers citing "Monitoring spatial sustainable development: Semi-automated analysis of satellite and aerial images for energy transition and sustainability indicators"

12 / 12 papers shown

Title
Building Robust Industrial Applicable Object Detection Models Using Transfer Learning and Single Pass Deep Learning Architectures Steven Puttemans T. Callemein Toon Goedemé ObjD 21 8 0 09 Jul 2020
Application of a semantic segmentation convolutional neural network for accurate automatic detection and mapping of solar photovoltaic arrays in aerial imagery Joseph A. Camilo Rui Wang L. Collins Kyle Bradbury Jordan M. Malof 43 45 0 11 Jan 2018
Harmonic Networks: Deep Translation and Rotation Equivariance Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow 105 710 0 14 Dec 2016
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks Nicolas Audebert Bertrand Le Saux Sébastien Lefèvre SSeg 102 384 0 22 Sep 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 243 9,305 0 14 Dec 2015
DeepSat - A Learning framework for Satellite Imagery Saikat Basu S. Ganguly S. Mukhopadhyay Robert DiBiano Manohar Karki R. Nemani 50 338 0 11 Sep 2015
Land Use Classification in Remote Sensing Images by Convolutional Neural Networks M. Castelluccio Giovanni Poggi Carlo Sansone L. Verdoliva 49 611 0 01 Aug 2015
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 671 36,923 0 08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 484 62,243 0 04 Jun 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 436 43,635 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,330 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.6K 39,509 0 01 Sep 2014