Joyeeta Dey's starred repositories
Hyperspectral_Image_Analysis_Simplified
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
CNN_Enhanced_GCN
Q. Liu, L. Xiao, J. Yang and Z. Wei, "CNN-Enhanced Graph Convolutional Network With Pixel- and Superpixel-Level Feature Fusion for Hyperspectral Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3037361.
Auto-CNN-HSI-Classification
Code for the paper "Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification"
A-Fast-and-Compact-3-D-CNN-for-HSIC
The code is associated with the following paper "A Fast and Compact 3-D CNN for Hyperspectral Image Classification". IEEE Geoscience and Remote Sensing Letters
rnn_darts_fastai
Implement Differentiable Architecture Search (DARTS) for RNN with fastai
SpecPatConv3D-Network
An implementation of the neural network described in "Convolution Based Spectral Partitioning Architecture for Hyperspectral Image Classification"
sharpDARTS
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
Cross-domain-CNN
Cross Domain CNN for Hyperspectral Image Classification
DWDM-CSRGFF
This repo is the implementation of the Cascade superpixel regularized Gabor Feature Fusion For hyperspectral image classification as a part of the Data Warehousing and Data Mining course mini project
HybridCNN-based-hyperspectral-image-classification-using-multiscale-spatiospectral-features
Python Implementation for HybridCNN
hyperspectral_images_classification
Hyperspectral images have more spectral information, which can be used to classify surfaces/crops in remote sensing applications. The same has been explored in this repository.
swarm-torch
Optimizer for PyTorch that enables to train any PyTorch model without gradients using Particle Swarm Optimization.
Thai-Nutrition-Table-Extraction
The nutrition table extractor from Thai food packages. Mini project in Computer Vision class.
Feature_selection_HSI_classification_AP_disease
This repository contains my master's thesis under the title of "Feature selection in hyperspectral images for classification of apple proliferation disease"
NAS-HIC-Blog
Blog on Neural Architecture Search For Hand Image Classification
Masking-Spectral-Crop-Data
Hyperspectral imaging (HSI) is a technique that analyzes a wide spectrum of light instead of just assigning primary colors (red, green, blue) to each pixel. HSI is used across many applications within the field of biosystems engineering, including agricultural production, food processing, microbial analysis, and more. Given its high spectral resolution, HSI can provide unique signatures that enable the detection and quantification of biological, chemical, and physical phenomena.
ENAS-PyTorch
PyTorch implementation of ENAS
Ingredients-Extraction
This project helps in extracting the ingredients mentioned in the food packets with OpenCV and Natural Language Processing