Deep Learning Hyperspectral Image Classification Using Multiple Class-based Denoising Autoencoders, Mixed Pixel Training Augmentation, and Morphological Operations

11 July 2018

Papers citing "Deep Learning Hyperspectral Image Classification Using Multiple Class-based Denoising Autoencoders, Mixed Pixel Training Augmentation, and Morphological Operations"

4 / 4 papers shown

Title
UDHF2-Net: Uncertainty-diffusion-model-based High-Frequency TransFormer Network for Remotely Sensed Imagery Interpretation Pengfei Zhang Chang Li Yongjun Zhang Rongjun Qin Kyle Gao Jonathan Li 53 1 0 23 Jun 2024
The Effects of Spectral Dimensionality Reduction on Hyperspectral Pixel Classification: A Case Study Kiran Mantripragada Phuong D. Dao Y. He Faisal Z. Qureshi 55 13 0 01 Apr 2021
Morphological Operation Residual Blocks: Enhancing 3D Morphological Feature Representation in Convolutional Neural Networks for Semantic Segmentation of Medical Images Chentian Li Chi Ma W. Lu MedIm 49 1 0 06 Mar 2021
A CNN With Multi-scale Convolution for Hyperspectral Image Classification using Target-Pixel-Orientation scheme J. Saha Yuvraj Khanna J. Mukherjee 27 3 0 30 Jan 2020