Change Detection from Remotely Sensed Images Based on Stationary Wavelet Transform
نویسندگان
چکیده
منابع مشابه
Object-oriented Change Detection from Multi-temporal Remotely Sensed Images
An object-oriented change detection algorithm was proposed and experimented to multi-temporal ALOS remotely sensed images. In contrast with conventional pixel-based algorithms, this approach processed homogenous blocks generated by object-oriented image segmentation for change detection. Similar pixels were merged into homogeneous objects by image segmentation at first, and each object (polygon...
متن کاملChange detection from remotely sensed images: From pixel-based to object-based approaches
The appetite for up-to-date information about earth’s surface is ever increasing, as such information provides a base for a large number of applications, including local, regional and global resources monitoring, land-cover and land-use change monitoring, and environmental studies. The data from remote sensing satellites provide opportunities to acquire information about land at varying resolut...
متن کاملMultilayer 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 کاملWavelet-Based Texture Segmentation of Remotely Sensed Images
In this article a texture feature extraction scheme based on M-band wavelet packet frames is investigated. The features so extracted are used for segmentation of satellite images which usually have complex and overlapping boundaries. The underlying principle is based on the fact that different image regions exhibit different textures. Since most signifcant information of a texture often lies in...
متن کاملRemotely Sensed Change Detection Based on Artificial Neural Networks
A new method for remotely sensed change detection based on artificial neural networks is presented. The algorithm for an automated land-cover change-detection system was developed and implemented based on the current neural network techniques for multispectral image classification. The suitability of application of neural networks in change detection and its related network design consideration...
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: International Journal of Electrical and Computer Engineering (IJECE)
سال: 2017
ISSN: 2088-8708,2088-8708
DOI: 10.11591/ijece.v7i6.pp3395-3401