Multi-Scale Geospatial Object Detection Based on Shallow-Deep Feature Extraction.
Dalal AL-AlimiYuxiang ShaoRuyi FengMohammed Abdulaziz Aide Al-qanessMohamed E. Abd ElazizSunghwan KimPublished in: Remote. Sens. (2019)
Keyphrases
- object detection
- feature extraction
- multiscale
- wavelet transform
- coarse to fine
- keypoint detection
- local binary pattern
- image processing
- face detection
- feature space
- multi class
- computer vision
- preprocessing
- scale space
- feature vectors
- feature selection
- discriminant analysis
- object recognition
- frequency domain
- natural images
- object categories
- pattern classification
- edge detection
- question answering
- extracted features
- background subtraction
- scene understanding
- image representation
- image classification
- information extraction
- pattern recognition
- face recognition
- scene recognition
- optic flow
- digital elevation models
- object classification
- deep learning
- feature extractors
- image parsing
- wavelet decomposition
- linear feature extraction
- wall street journal
- image segmentation
- gabor filters
- texture analysis
- dimension reduction
- pedestrian detection
- support vector machine svm
- feature set
- face images
- keypoints
- pairwise
- image analysis
- deformable part models
- natural language processing
- multiple scales
- geospatial data
- texture features
- big data
- palmprint