Integration of remotely sensed spatial and spectral information for change detection using FAHP
نویسندگان
چکیده
منابع مشابه
Multilayer Perceptron for Change Detection of Remotely Sensed Images
Multilayer Perceptrons (MLPs) have been proven to be an effective way to solve classification tasks. A major concern in their use is the difficulty to define the proper network for a specific application, due to the sensitivity to the initial conditions and overfitting and underfitting problems which limit their generalization capability. Moreover, time and hardware constraints may seriously re...
متن کاملdigital change detection using remotely sensed data for monitoring green space destruction in tabriz
being very dynamic, natural and artificial land features are changing somewhat rapidly in over lifetime. it is important that such changes be inventoried accurately so that the physical and human processes at work can be more fully understood. change detection is a technique used in remote sensing to determine the changes in a particular object of study between two or more time periods. this re...
متن کاملAn Iterative Spectral-Spatial Bayesian Labeling Approach for Unsupervised Robust Change Detection on Remotely Sensed Multispectral Imagery
In multispectral remote sensing, change detection is a central task for all kinds of monitoring purposes. We suggest a novel approach where the problem is formulated as a Bayesian labeling problem. Considering two registered images of the same scene but different recording time, a Bayesian probability for ' Change' and ' NoChange' is determined for each pixel from spectral as well as spatial fe...
متن کاملA Non-Parametric Classification Strategy for Remotely Sensed Images using Both Spectral and Textural Information
A classification strategy which does not require a priori assumptions about the statistical distribution of training pixels in each class is proposed. This method uses an indicator kriging approach in feature space to classify remotely sensed images incorporating both spectral and textural information of bands. Texture information is used only in cases where spectral information is not sufficie...
متن کاملFuzzy clustering algorithms incorporating local information for change detection in remotely sensed images
In this paper wk have used two fuzzy clustering algorithms, namely Fuzzy C-Means (FCM) and Gustafson Kessel Clustering (GKC) for unsupervised change detection in multitemporal remote sensing images. In conventional FCM & GKC no spatio-contextual information is taken into account and thus the result is not so much robust to noise/outliers. By incorporation of local neighborhood informationthe pe...
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: İstanbul Üniversitesi Orman Fakültesi Dergisi
سال: 2016
ISSN: 1309-6257,0535-8418
DOI: 10.17099/jffiu.90466