Precision measurements from very-large scale aerial digital imagery.

نویسندگان

  • D Terrance Booth
  • Samuel E Cox
  • Robert D Berryman
چکیده

Managers need measurements and resource managers need the length/width of a variety of items including that of animals, logs, streams, plant canopies, man-made objects, riparian habitat, vegetation patches and other things important in resource monitoring and land inspection. These types of measurements can now be easily and accurately obtained from very large scale aerial (VLSA) imagery having spatial resolutions as fine as 1 millimeter per pixel by using the three new software programs described here. VLSA images have small fields of view and are used for intermittent sampling across extensive landscapes. Pixel-coverage among images is influenced by small changes in airplane altitude above ground level (AGL) and orientation relative to the ground, as well as by changes in topography. These factors affect the object-to-camera distance used for image-resolution calculations. 'ImageMeasurement' offers a user-friendly interface for accounting for pixel-coverage variation among images by utilizing a database. 'LaserLOG' records and displays airplane altitude AGL measured from a high frequency laser rangefinder, and displays the vertical velocity. 'Merge' sorts through large amounts of data generated by LaserLOG and matches precise airplane altitudes with camera trigger times for input to the ImageMeasurement database. We discuss application of these tools, including error estimates. We found measurements from aerial images (collection resolution: 5-26 mm/pixel as projected on the ground) using ImageMeasurement, LaserLOG, and Merge, were accurate to centimeters with an error less than 10%. We recommend these software packages as a means for expanding the utility of aerial image data.

برای دانلود 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

Photogrammetric Processing of Low Altitude Image Sequences by Unmanned Airship

Low altitude aerial image sequences have the advantages of high overlap, multi viewing and very high ground resolution. These kinds of images can be used in various applications that need high precision or fine texture. This paper mainly focuses on the photogrammetric processing of low altitude image sequences acquired by unmanned airship, which automatically flies according to the predefined f...

متن کامل

An Approach to Automated House Recognition from Digital Stereo Imagery

One of the most critical steps in 3D GIs database establishment and revision as well as automated digital photogrammetry is to capture the 3D man-made structures from stereo images automatically and accurately. The key problem for fulfilling such a task is to resolve the correspondence problem between image pairs. The most challenging problems exist in the large scale imagery of dense urban or ...

متن کامل

Comparative Assessment of Very High Resolution Satellite and Aerial Orthoimagery

This paper aims to assess the accuracy and radiometric quality of orthorectified high resolution satellite imagery from Pleiades-1B satellites through a comparative evaluation of their quantitative and qualitative properties. A Pleiades-B1 stereopair of high resolution images taken in 2013, two adjacent GeoEye-1 stereopairs from 2011 and aerial orthomosaic (LSO) provided by NCMA S.A (Hellenic C...

متن کامل

Large Scale Mapping Using Digital Aerial Imagery of Unmanned Aerial Vehicle

The advancement in digital photogrammetry has made photogrammetric technique become simpler, faster and lower cost. Currently, this method is quite popular in covering small and large area. This study examines the use of digital camera of high resolution in capturing aerial photograph based on unmanned aerial vehicle (UAV) as the airborne platform. The study area covered is the area of Universi...

متن کامل

Resolution Merge of 1:35.000 Scale Aerial Photographs with Landsat 7 Etm Imagery

Merging of different data sets is often used in digital image processing to improve the visual and analytical quality of the data. The analyst may need to merge different types of data. In this process, different data such as satellite imagery from the same sensor but with different resolution, satellite imagery from different sensors with varying resolution, digitized aerial photography and sa...

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

برای دانلود 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

عنوان ژورنال:
  • Environmental monitoring and assessment

دوره 112 1-3  شماره 

صفحات  -

تاریخ انتشار 2006