학술논문
Which Cnn Layer For Which Change? A Cnn Adaptation Approach For Change Detection In Remote Sensing Data
Document Type
Conference
Author
Source
2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS) Geoscience and Remote Sensing Symposium (M2GARSS), 2020 Mediterranean and Middle-East. :5-8 Mar, 2020
Subject
Language
Abstract
The purpose of this paper is to experimentally study the adaptation of convolutional neural networks (CNN) to the problem of change detection in remote sensing data. Specifically, our goal is to explore the impact of each layer of CNN (low, medium, and high level) in capturing changes. To this end, two types of changes are studied, an artificial change and a real change. The results indicates that it is recommended to use specific CNN layers to detect specific changes. However, prior information on the size and characteristics of the changes are needed to make such a decision.