Retrieving Aerial Scene Images with Learned Deep Image-Sketch Features
- 14 July 2017
- journal article
- research article
- Published by Springer Nature in Journal of Computer Science and Technology
- Vol. 32 (4) , 726-737
Abstract
No abstract availableKeywords
This publication has 35 references indexed in Scilit:
- Local structure learning in high resolution remote sensing image retrievalNeurocomputing, 2016
- Accurate Annotation of Remote Sensing Images via Active Spectral Clustering with Little Expert KnowledgeRemote Sensing, 2015
- Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing ImageryRemote Sensing, 2015
- Hashing-Based Scalable Remote Sensing Image Search and Retrieval in Large ArchivesIEEE Transactions on Geoscience and Remote Sensing, 2015
- Unsupervised Feature Learning Via Spectral Clustering of Multidimensional Patches for Remotely Sensed Scene ClassificationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015
- A Novel Active Learning Method in Relevance Feedback for Content-Based Remote Sensing Image RetrievalIEEE Transactions on Geoscience and Remote Sensing, 2014
- Performance Analysis of State-of-the-Art Representation Methods for Geographical Image Retrieval and CategorizationIEEE Geoscience and Remote Sensing Letters, 2014
- Remote Sensing Image Retrieval With Global Morphological Texture DescriptorsIEEE Transactions on Geoscience and Remote Sensing, 2013
- Geographic Image Retrieval Using Local Invariant FeaturesIEEE Transactions on Geoscience and Remote Sensing, 2012
- Interactive Remote-Sensing Image Retrieval Using Active Relevance FeedbackIEEE Transactions on Geoscience and Remote Sensing, 2007