- š± Iām currently working on Hyperspectral Image Classification
- š„ 2023 Goals: Contribute more to research sector of Hyperspectral Image Classification
š« Reach me at [email protected]
Name: Tasmia Jannat
Type: User
Bio: Lecturer of CSE, Rajshahi University of Engineering & Technology
Location: Rajshahi, Bangladesh
š« Reach me at [email protected]
A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
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Bangla tutorial, reference and resource list on programming topics
Implementation of convolutional neural networks (CNNs) of increasing complexity for classification of handwritten Bengali characters. The deepest network achieves 94.2% accuracy on test data, compared to 85.96% reported on the latest paper using CNNs for Bengali OCR.
Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network
Code force problems on number theory!
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In this repository , You can find the files which implements dimensionality reduction on hyper spectral image(Indian Pines) with classification.
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All the Lab work and other basic OpenGL code using codeblock
A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
Hyperspectral-Classification Pytorch
EE 367 Final Project
A Comparison of Supervised and Unsupervised Dimension Reduction Methods for Hyperspectral Image Classification.
Semantic Segmentation of HyperSpectral Images using a U-Net with Depthwise Separable Convolutions
Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"
Simple hyperspectral image analysis using python and also implements different machine learning techniques.
Improving-Deep-Neural-Networks
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