Automatic Building Extraction with Multi-sensor Data Using Rule-based Classification
نویسندگان
چکیده
منابع مشابه
Rule-based Automatic Multi-word Term Extraction and Lemmatization
In this paper we present a rule-based method for multi-word term extraction that relies on extensive lexical resources in the form of electronic dictionaries and finite-state transducers for modelling various syntactic structures of multi-word terms. The same technology is used for lemmatization of extracted multi-word terms, which is unavoidable for highly inflected languages in order to pass ...
متن کاملData Extraction using Content-Based Handles
In this paper, we present an approach and a visual tool, called HWrap (Handle Based Wrapper), for creating web wrappers to extract data records from web pages. In our approach, we mainly rely on the visible page content to identify data regions on a web page. In our extraction algorithm, we inspired by the way a human user scans the page content for specific data. In particular, we use text fea...
متن کاملAutomatic Generation of Building Primitives Using Multi- Source Data
Although many researchers have studied building reconstruction from remotely sensory data, most approaches are not yet satisfactory in terms of the degree of automation, the reconstructed details and the accuracy. With the innovation of sensory technology, more advanced sensors are now available and getting cheaper. This paper describes a framework for automatic generation of 3D building models...
متن کاملRule-Based Medical Content Extraction and Classification
Introduction Processing Results Task Description input data: about 2000 mammography reports from 3 Warsaw hospitals, output data: (for each report) very detailed information concerning:
متن کاملRegional Urban Extent Extraction Using Multi-Sensor Data and One-Class Classification
Stable night-time light data from the Defense Meteorological Satellite Program (DMSP) Operational Line-scan System (OLS) provide a unique proxy for anthropogenic development. This paper presents a regional urban extent extraction method using a one-class classifier and combinations of DMSP/OLS stable night-time light (NTL) data, MODIS normalized difference vegetation index (NDVI) data, and land...
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: European Journal of Remote Sensing
سال: 2014
ISSN: 2279-7254
DOI: 10.5721/eujrs20144701