Domain Adaptation for the Classification of Remote Sensing Data: An Overview of Recent Advances
The success of the supervised classification of remotely sensed images acquired over large geographical areas or at short time intervals strongly depends on the representativity of the samples used to train the classification algorithm and to define the model. When training samples are collected fro...
Saved in:
Published in | IEEE geoscience and remote sensing magazine Vol. 4; no. 2; pp. 41 - 57 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
IEEE
01.06.2016
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Be the first to leave a comment!