Multi-Feature Object-Based Change Detection Using Self-Adaptive Weight Change Vector Analysis
نویسندگان
چکیده
منابع مشابه
Multi-Feature Object-Based Change Detection Using Self-Adaptive Weight Change Vector Analysis
Abstract: Change detection in multi-temporal remote sensing images has usually been treated as a problem of explicitly detecting land cover transitions. To date, multi-dimensional change vector analysis has been an effective solution to such problems. However, using change vector analysis makes it hard to calculate multiple directions or kinds of change. Through combining multi-feature object-b...
متن کاملSuperpixel-based Unsupervised Change Detection Using Multi-dimensional Change Vector Analysis and Svm-based Classification
In this paper, a novel superpixel-based approach is introduced for unsupervised change detection using remote sensing images. The proposed approach contains three steps: 1) Superpixel segmentation. The simple linear iterative cluster (SLIC) algorithm is applied to obtain lattice-like homogenous superpixels. To avoid discordances of the superpixel boundaries obtained from bi-temporal images, the...
متن کاملObject-based change detection
This article may be used for research, teaching, and private study purposes. Any substantial or systematic reproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date...
متن کاملA New Multi-Feature Approach to Object-Oriented Change Detection Based on Fuzzy Classification
Remote sensing technologies have been widely used in the detection of Land Use/Land Cover change (LUCC). In the past few decades, lots of methods have been proposed attempting to detect changes using multi-temporal satellite images, most of which are on the pixel level. In this paper, a new synthetic method based on objectoriented is proposed. Several customized difference features such as diff...
متن کاملLand Use/Cover Change Detection Using Feature Database Based on Vector-Image Data Conflation
Change detection in remotely sensed imagery is defined as the procedure of quantitatively analyzing and identifying changes occurred on the earth’s surface from remotely sensed imageries acquired at different times. Land use change survey with remote-sensed imagery has been one of the important methods for the land manage apartment to understand and accommodate land resources, and has attracted...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Remote Sensing
سال: 2016
ISSN: 2072-4292
DOI: 10.3390/rs8070549