Urban Classification Using Multi-temporal Sentinel-1 Data Based On Coherence Characteristics
نویسندگان
چکیده
منابع مشابه
Urban Change Detection Using Coherence and Intensity Characteristics of Multi-temporal ERS-1/2 Imagery
In this paper, the potential of multitemporal ERS-1/2 InSAR data for detecting urban land-cover changes is investigated on a test area within Shanghai city, China. A new unsupervised change-detection approach is proposed, which is characterized by the combined use of two temporal variations based on backscattering intensity and long-term coherence from multitemporal ERS-1/2 SAR images. The prop...
متن کاملUrban monitoring using multi-temporal SAR and multi-spectral data
In some key operational domains, the joint use of synthetic aperture radar (SAR) and multi-spectral sensors has shown to be a powerful tool for Earth observation. In this paper, we analyze the potentialities of combining interferometric SAR and multi-spectral data for urban area characterization and monitoring. This study is carried out following a standard multi-source processing chain. First,...
متن کاملOil spill detection using in Sentinel-1 satellite images based on Deep learning concepts
Awareness of the marine area is very important for crisis management in the event of an accident. Oil spills are one of the main threats to the marine and coastal environments and seriously affect the marine ecosystem and cause political and environmental concerns because it seriously affects the fragile marine and coastal ecosystem. The rate of discharge of pollutants and its related effects o...
متن کاملDeformation monitoring using Sentinel-1 SAR data
This paper describes the data processing and analysis procedure implemented by the authors to analyse Sentinel-1 data. The procedure is an advanced Differential Interferometric SAR (DInSAR) technique that generates deformation maps and time series of deformation from multiple SAR images acquired over the same site. The second part of the paper illustrates the results of the procedure. The first...
متن کاملEfficient Heterogeneous Multi-relational Classification Using Multi-criteria Ranking Approach Based on Characteristics of Multiple Relations
Traditional data mining algorithms will not work efficiently for most of the real world applications where the data is stored in relational format. Even well-known traditional classification technique such as J48, Naïve Bayes often suffers from poor scalability and unsatisfactory predictive performance when it comes to working with relational data. Moreover the performance of existing relationa...
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: VNU Journal of Science: Earth and Environmental Sciences
سال: 2021
ISSN: 2588-1094,2615-9279
DOI: 10.25073/2588-1094/vnuees.4637