An attention-fused network for semantic segmentation of very-high-resolution remote sensing imagery

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

Dynamic Multicontext Segmentation of Remote Sensing Images Based on Convolutional Networks

(2019) Keiller Nogueira et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Remotely sensed big data: evolution in model development for information extraction [point of view]

(2019) Bing Zhang et al.   PROCEEDINGS OF THE IEEE

Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning

(2018) Ronald Kemker et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Classification with an edge: Improving semantic image segmentation with boundary detection

(2018) D. Marmanis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Beyond RGB: Very high resolution urban remote sensing with multimodal deep networks

(2018) Nicolas Audebert et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Semantic Labeling of High Resolution Aerial Imagery and LiDAR Data with Fine Segmentation Network

(2018) Xuran Pan et al.   Remote Sensing

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Semantic labeling in very high resolution images via a self-cascaded convolutional neural network

(2017) Yongcheng Liu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community

(2017) John E. Ball et al.   Journal of Applied Remote Sensing

Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art

(2016) Liangpei Zhang et al.   IEEE Geoscience and Remote Sensing Magazine

Remote sensing big data computing: Challenges and opportunities

(2015) Yan Ma et al.   Future Generation Computer Systems-The International Journal of eScience

Effective and Efficient Midlevel Visual Elements-Oriented Land-Use Classification Using VHR Remote Sensing Images

(2015) Gong Cheng et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Deep learning

(2015) Yann LeCun et al.   NATURE

Big Data Deep Learning: Challenges and Perspectives

(2014) Xue-Wen Chen et al.   IEEE Access

Automated urban land-use classification with remote sensing

(2012) Shougeng Hu et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Very High-Resolution Remote Sensing: Challenges and Opportunities [Point of View]

(2012) Jon Atli Benediktsson et al.   PROCEEDINGS OF THE IEEE

Multi-scale solution for building extraction from LiDAR and image data

(2009) T. Thuy Vu et al.   International Journal of Applied Earth Observation and Geoinformation

Using colour, texture, and hierarchial segmentation for high-resolution remote sensing

(2007) Roger Trias-Sanz et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING