Indian_pines_classification 运行环境 Anaconda 3.6.4 python=3.6.4 Keras=2.1.5 TensorFlow=1.3.0 作为keras后端 numpy=1.14.2 notebook=5.4.1 ipython=6.3.1 spectral=0.19 代码结构 dataset.ipynb 利用spectral工具包读取数据集,然后对数据集进行预处理,包括进行训练测试集分割 / 序列化和PCA变换,并将其以npy...
By utilising ResCNN, we were able to successfully classify the topographic attributes that were contained inside the Indian Pines dataset. The research also demonstrated how difficult it is to design the optimal configuration for a CNN, and it offered some recommendations for the parameter settings ...
A simple classifier using CNN with keras to classify Indian pines Hyperspectral Image - danqu130/Indian_pines_classification
dataset.py: Main module includes two functionloadandmake_dataset example.py: sample code resource/ IndianPines.rst: Description for dataset LabelsFromTIF.rst: Description for Original Ground Truth LabelsFromMAT.rst: Description for GIC Ground Truth ...
Indian_pines_classification 运行环境 Anaconda 3.6.4 python=3.6.4 Keras=2.1.5 TensorFlow=1.3.0 作为keras后端 numpy=1.14.2 notebook=5.4.1 ipython=6.3.1 spectral=0.19 代码结构 dataset.ipynb 利用spectral工具包读取数据集,然后对数据集进行预处理,包括进行训练测试集分割 / 序列化和PCA变换,并将其以npy...
Indian Pines dataset. History 2018-01-06 - First online date, Posted date Related Materials 1. DOI - Is supplement to Fuzziness-based active learning framework to enhance hyperspectral image classification performance for discriminative and generative classifiers ...
遥感高光谱分类文献阅读:Going Deeper with Contextual CNN for Hyperspectral Image Classification correlations. 其实就是简化版的inception。。。 测试实验用的还是那三个开源数据集: 145×145 pixels for the Indian Pines dataset... Indian pines,pavia U, Salinas。 本文号称是第一篇用较深的网络做这个任务的...
Classification of Land Patterns from Indian Pines Dataset Using ResCNN By utilising ResCNN, we were able to successfully classify the topographic attributes that were contained inside the Indian Pines dataset. The research als... T Gnanasekaran,VVJR Krishnaiah,N Shaik,... - International Conferenc...
A simple classifier using CNN with keras to classify Indian pines Hyperspectral Image - danqu130/Indian_pines_classification
Indian_pines_classification 运行环境 Anaconda 3.6.4 python=3.6.4 Keras=2.1.5 TensorFlow=1.3.0 作为keras后端 numpy=1.14.2 notebook=5.4.1 ipython=6.3.1 spectral=0.19 代码结构 dataset.ipynb 利用spectral工具包读取数据集,然后对数据集进行预处理,包括进行训练测试集分割 / 序列化和PCA变换,并将其以npy...