Convolutional Neural Network with a Learnable Spatial Activation Function for SAR Image Despeckling and Forest Image Analysis

Convolutional Neural Network with a Learnable Spatial Activation Function for SAR Image Despeckling and Forest Image Analysis

Synthetic aperture radar (SAR) images are often disturbed by speckle noise, making SAR image interpretation tasks more difficult. Therefore, speckle suppression becomes a pre-processing step. In recent years, approaches based on convolutional neural network (CNN) achieved good results in synthetic a...

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Bibliographic Details
Main Authors: Hao Wang, Zhendong Ding, Xinyi Li, Shiyu Shen, Xiaodong Ye, Dan Zhang, Shifei Tao
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Remote Sensing
Subjects:
CNN
ReLU
conifer
broad-leaved
mixed forest
Online Access:https://www.mdpi.com/2072-4292/13/17/3444

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