CHANGE DETECTION IN HIGH-RESOLUTION REMOTE SENSING IMAGES USING LEVENE-TEST AND FUZZY EVALUATION
High-resolution remote sensing images possess complex spatial structure and rich texture information, according to these, this paper presents a new method of change detection based on Levene-Test and Fuzzy Evaluation. It first got map-spots by segmenting two overlapping images which had been pretrea...
Main Authors: | G. H. Wang, H. B. Wang, W. F. Fan, Y. Liu, H. J. Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2018-04-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/1695/2018/isprs-archives-XLII-3-1695-2018.pdf |
Similar Items
-
CHANGE DETECTION OF HIGH-RESOLUTION REMOTE SENSING IMAGES BASED ON ADAPTIVE FUSION OF MULTIPLE FEATURES
by: G. H. Wang, et al.
Published: (2018-04-01) -
CHANGE DETECTION OF REMOTE SENSING IMAGES BY DT-CWT AND MRF
by: S. Ouyang, et al.
Published: (2017-05-01) -
TARGETS MASK U-NET FOR WIND TURBINES DETECTION IN REMOTE SENSING IMAGES
by: M. Han, et al.
Published: (2018-04-01) -
Supervised Fuzzy Classification of Remote Sensing Images classification and Change Detection
by: Liu Hsiao-Herng, et al.
Published: (1999) -
INTERACTIVE CHANGE DETECTION USING HIGH RESOLUTION REMOTE SENSING IMAGES BASED ON ACTIVE LEARNING WITH GAUSSIAN PROCESSES
by: H. Ru, et al.
Published: (2016-06-01)