The MURI Project for Rapid Feature Extraction in Urban Areas*

نویسندگان

  • R. Nevatia
  • A. Huertas
چکیده

A summary of research in urban feature extraction being conducted under a MURI (multi-disciplinary research initiative) program sponsored by the U.S. Army Research Office is provided. Most of the paper focuses on extraction of rectilinear building models. Feature extraction from aerial images is difficult due to problems of segmentation, 3-D inference and shape description. A system for building modeling from multiple panchromatic images is described. Enhancements to this system using digital elevation models (DEMs) or thematic maps derived from hyperspectral images are described. Some results and quantitative evaluations are provided. A brief example of work on street grid extraction is also included. The work described here depends on analysis provided by researchers at Purdue University and Marconi Integrated Systems, Inc. who are partners in this multi-disciplinary project.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Developing a New Method in Object Based Classification to Updating Large Scale Maps with Emphasis on Building Feature

According to the cities expansion, updating urban maps for urban planning is important and its effectiveness is depend on the information extraction / change detection accuracy. Information extraction methods are divided into two groups, including Pixel-Based (PB) and Object-Based (OB). OB analysis has overcome the limitations of PB analysis (producing salt-pepper results and features with hole...

متن کامل

Feature extraction in opinion mining through Persian reviews

Opinion mining deals with an analysis of user reviews for extracting their opinions, sentiments and demands in a specific area, which can play an important role in making major decisions in such area. In general, opinion mining extracts user reviews at three levels of document, sentence and feature. Opinion mining at the feature level is taken into consideration more than the other two levels d...

متن کامل

Road Network Extraction in Urban Areas by Means of Feature- Level Fusion

The availability of VHR SAR images depicting in detail urban areas allow starting and considering the use of these data for cartographic feature extraction. This has been proved already by means of airborne data [1] [2] but has to be further improved in order to achieve the quality that is currently available from optical VHR data. One of the main problems for road extraction in SAR data is the...

متن کامل

Comparative Evaluation of Unmitigated Options for Solid Waste Transfer Stations in North East of Tehran Using Rapid Impact Assessment Matrix and Iranian Leopold Matrix

The current situation of world’s environmental issues, indicates that not only the man-made environmental damages have not been diminished, but also has given rise to more acute issues such as water and soil pollution, biodiversity loss, ozone depletion, greenhouse phenomena, etc. One of the most prominent effects of urban development on environmental problems caused by solid waste generated in...

متن کامل

Improvement of effort estimation accuracy in software projects using a feature selection approach

In recent years, utilization of feature selection techniques has become an essential requirement for processing and model construction in different scientific areas. In the field of software project effort estimation, the need to apply dimensionality reduction and feature selection methods has become an inevitable demand. The high volumes of data, costs, and time necessary for gathering data , ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1998