Statistical Similarity Based Change Detection for Multitemporal Remote Sensing Images
Change detection (CD) of any surface using multitemporal remote sensing images is an important research topic since up-to-date information about earth surface is of great value. Abrupt changes are occurring in different earth surfaces due to natural disasters or man-made activities which cause damag...
Saved in:
Main Authors: | Mumu Aktar, Md. Al Mamun, Md. Ali Hossain |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2017-01-01
|
Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/2017/3123967 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SATELLITE-BASED MULTITEMPORAL CHANGE DETECTION IN IGNEADA FLOODED FORESTS
by: ALIYE GONCA BOZKAYA, et al.
Published: (2014-12-01) -
Dual-Granularity Feature Alignment for Change Detection in Remote Sensing Images
by: Feng Zhou, et al.
Published: (2025-01-01) -
Mapping of Agate-like Soil Cover Structures Based on a Multitemporal Soil Line Using Neural Network Filtering of Remote Sensing Data
by: Dmitry I. Rukhovich, et al.
Published: (2025-01-01) -
Effects of extreme climate on agriculture in paddy field area in West Java Province (Indonesia) using multitemporal scenarios, GIS, and remote sensing
by: Riantini Virtriana, et al.
Published: (2025-12-01) -
Dual Fine-Grained network with frequency Transformer for change detection on remote sensing images
by: Zhen Li, et al.
Published: (2025-02-01)