Harm Greidanus
Media Technology · 2018
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Media Technology — 8 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Harm Greidanus trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Harm Greidanus overall
Papers from Harm Greidanus's perspective
Ordered by how strongly the researchers Harm Greidanus trusts endorse each paper. Same corpus, a different order for every researcher.
- Compressed-Domain Ship Detection on Spaceborne Optical Image Using Deep Neural Network and Extreme Learning Machine (IEEE Transactions on Geoscience and Remote Sensing)
- Ship Rotated Bounding Box Space for Ship Extraction From High-Resolution Optical Satellite Images With Complex Backgrounds (IEEE Geoscience and Remote Sensing Letters)
- A comparison of three image-object methods for the multiscale analysis of landscape structure
- An automated object-based approach for the multiscale image segmentation of forest scenes
- Saliency and Gist Features for Target Detection in Satellite Images
- Google Earth as a virtual globe tool for Earth science applications at the global scale: progress and perspectives
- Distinctive Image Features from Scale-Invariant Keypoints
- ImageNet classification with deep convolutional neural networks
- Histograms of oriented gradients for human detection
- A Novel Hierarchical Method of Ship Detection from Spaceborne Optical Image Based on Shape and Texture Features (IEEE Transactions on Geoscience and Remote Sensing)
Their papers
- Vessel detection and classification from spaceborne optical images: A literature survey (2018) — 309 citations