Yashon O. Ouma
2008
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Yashon O. Ouma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yashon O. Ouma's perspective
Ordered by how strongly the researchers Yashon O. Ouma trusts endorse each paper. Same corpus, a different order for every researcher.
- Classification and feature extraction for remote sensing images from urban areas based on morphological transformations (IEEE Transactions on Geoscience and Remote Sensing)
- Textural Features for Image Classification
- A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
- The utility of texture analysis to improve per‐pixel classification for high to very high spatial resolution imagery
- Local Maximum Filtering for the Extraction of Tree Locations and Basal Area from High Spatial Resolution Imagery
- A multiscale texture analysis procedure for improved forest stand classification
- Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet classification with deep convolutional neural networks