Change Field: A New Change Measure for VHR Images

Author

Leigang Huo ; Xiangchu Feng ; Chunlei Huo ; Zhixin Zhou ; Chunhong Pan

Author_Institution

Sch. of Math. & Stat., Xidian Univ., Xi´an, China

Volume

11

Issue

10

fYear

2014

fDate

Oct. 2014

Firstpage

1812

Lastpage

1816

Abstract

Due to the complexity of very high resolution (VHR) images and the inaccurate correspondence, change feature extraction is the key difficulty of VHR image change detection. In this letter, change field is proposed to represent the complex changes between VHR images. Change field measures the complex changes based on the displacements and the compensated distance. Based on change field, a novel change detection approach is proposed, where the inter-class variability is improved and the changed class and the unchanged class can be separated effectively. Experiments demonstrate the effectiveness of the proposed approach.

Keywords

feature extraction; image processing; VHR images; change detection approach; change feature extraction; change field; compensated distance; displacements; inter-class variability; very high resolution images; Feature extraction; Remote sensing; Robustness; Spatial resolution; Training; Vectors; Change detection; change field; progressive transductive classification; very high resolution (VHR) images;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2014.2310202

Filename

6775280