Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies—Part 2: Recommendations and Best Practices

Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies—Part 2: Recommendations and Best Practices

Convolutional neural network (CNN)-based deep learning (DL) has a wide variety of applications in the geospatial and remote sensing (RS) sciences, and consequently has been a focus of many recent studies. However, a review of accuracy assessment methods used in recently published RS DL studies, focu...

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Bibliographic Details
Main Authors: Aaron E. Maxwell, Timothy A. Warner, Luis Andrés Guillén
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
accuracy assessment
thematic mapping
feature extraction
object detection
semantic segmentation
instance segmentation
Online Access:https://www.mdpi.com/2072-4292/13/13/2591

Internet

https://www.mdpi.com/2072-4292/13/13/2591

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