tsakiridis / cnn-lucasLinks
Python code for the paper "Simultaneous prediction of soil properties from VNIR--SWIR spectra using a localized multi-channel 1-D convolutional neural network" published in Geoderma.
☆12Updated 5 years ago
Alternatives and similar repositories for cnn-lucas
Users that are interested in cnn-lucas are comparing it to the libraries listed below
Sorting:
- Wavelength selection in spectroscopy☆74Updated 2 years ago
- Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification☆163Updated last year
- Tools for training and using unsupervised autoencoders and supervised deep learning classifiers for hyperspectral data.☆117Updated 5 years ago
- Unsupervised Spatial-Spectral Feature Learning by 3-Dimensional Convolutional Autoencoder for Hyperspectral Classification☆93Updated 4 years ago
- Bin-Zh / Three-dimensional-convolutional-neural-network-model-for-tree-species-classification-using-airborne-Three-dimensional convolutional neural network model for tree species classification using airborne hyperspectral images☆26Updated 10 months ago
- Understanding the Role of Receptive Field of Convolutional Neural Network for Cloud Detection in Landsat 8 OLI Imagery☆24Updated 3 years ago
- Extension of ConvLSTM and Time-LSTM for irregularly spaced images, appropriate for Remote Sensing☆21Updated 5 years ago
- 1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data☆60Updated 3 years ago
- This is the code of the paper Multiple Spectral Resolution 3D Convolutional Neural Network for Hyperspectral Image Classification. And th…☆26Updated 3 years ago
- ☆13Updated last year
- Common preprocessing such as sg, msc, SNV, first-order derivative, second-order derivative, etc.☆106Updated 2 years ago
- This repository contains codes for the paper entitled "A CNN-RNN Framework for Crop Yield Prediction"☆151Updated last year
- A Satellite Time Series Dataset for Crop Type Identification☆205Updated 3 years ago
- Implementation of Hang et al. 2020 "Hyperspectral Image Classification with Attention Aided CNNs" for tree species prediction☆128Updated last year
- ☆61Updated 3 years ago
- 竞争性自适应重加权采样法(competitive adapative reweighted sampling, CARS)python代码☆23Updated 3 years ago
- 西南山区植被对水文气候变化的非线性响应量化研究,包括MODIS、GLDAS、Rs数据的预处理以及CNN-LSTM模型的搭建、训练和特征重要性分析.☆19Updated last year
- The code is associated with the following paper "A Fast and Compact 3-D CNN for Hyperspectral Image Classification". IEEE Geoscience and …☆38Updated 3 years ago
- ☆27Updated last year
- Semantic-segmentation-methods-for-landslide-detection☆28Updated 4 years ago
- ☆53Updated 4 years ago
- Deep learning models for remote sensing applications☆191Updated last year
- Hyperspectral Processing Scripts for the HydReSGeo Dataset☆17Updated 4 years ago
- A cost-effective and robust mapping method for diverse crop types using weakly supervised semantic segmentation with sparse point samples☆16Updated 2 months ago
- Hyperspectral image generator with augmentation for Keras☆42Updated last year
- This is the source code of our data processing tool that we used for processing hyperspectral data in our paper (Apple Surface Pesticide …☆19Updated 6 years ago
- A simple classifier using CNN with keras to classify Indian pines Hyperspectral Image☆76Updated 7 years ago
- Crop yield prediction on remote sensing data using CNN☆25Updated 6 years ago
- Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"☆201Updated 5 years ago
- This Toolbox includes Hyperspectral Feature Extraction Techniques including Unsupervised, Supervised, and Deep Feature Extraction☆132Updated 3 years ago