4.4 Article

SatCNN: satellite image dataset classification using agile convolutional neural networks

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Geochemistry & Geophysics

Dirichlet-Derived Multiple Topic Scene Classification Model for High Spatial Resolution Remote Sensing Imagery

Bei Zhao et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2016)

Article Computer Science, Artificial Intelligence

High-Resolution Image Classification Integrating Spectral-Spatial-Location Cues by Conditional Random Fields

Ji Zhao et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2016)

Article Geochemistry & Geophysics

Scene Classification Based on the Multifeature Fusion Probabilistic Topic Model for High Spatial Resolution Remote Sensing Imagery

Yanfei Zhong et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2015)

Article Geochemistry & Geophysics

Saliency-Guided Unsupervised Feature Learning for Scene Classification

Fan Zhang et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2015)

Article Remote Sensing

On combining multiscale deep learning features for the classification of hyperspectral remote sensing imagery

Wenzhi Zhao et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2015)

Review Multidisciplinary Sciences

Deep learning

Yann LeCun et al.

NATURE (2015)

Article Remote Sensing

High-resolution remote-sensing imagery retrieval using sparse features by auto-encoder

Weixun Zhou et al.

REMOTE SENSING LETTERS (2015)

Proceedings Paper Computer Science, Information Systems

DeepSat - A Learning framework for Satellite Imagery

Saikat Basu et al.

23RD ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS (ACM SIGSPATIAL GIS 2015) (2015)

Article Computer Science, Artificial Intelligence

Scene classification using a multi-resolution bag-of-features model

Li Zhou et al.

PATTERN RECOGNITION (2013)

Review Computer Science, Artificial Intelligence

Which is the best way to organize/classify images by content?

Anna Bosch et al.

IMAGE AND VISION COMPUTING (2007)