Modeling Multiscale Landscape Structure within a Hierarchical Scale-space Framework

نویسندگان

  • Geoffrey J. Hay
  • D. J. Marceau
  • A. Bouchard
چکیده

In this paper we describe a novel integration of Hierarchy Theory and Linear Scale-Space for automatically visualizing, and modeling dominant landscape structures at multiple scales. Specifically, we describe 3D methods for modelling and visualizing landscape scale-domains by using scale-space events as critical domain thresholds. This novel approach provides the capacity to automatically define dominant landscape structures within varying shaped scale domains, as well as through (all) domains. We hypothesize that the resulting domain structures represent critical landscape scale thresholds; which could be used as templates to define the grain and extent at which scale-dependent ecological models could be developed and applied, and the limits over which landscape data may be uniquely scaled.

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

A comparison of three image-object methods for the multiscale analysis of landscape structure

Within the conceptual framework of Complex Systems, we discuss the importance and challenges in extracting and linking multiscale objects from high-resolution remote sensing imagery to improve the monitoring, modeling and management of complex landscapes. In particular, we emphasize that remote sensing data are a particular case of the modifiable areal unit problem (MAUP) and describe how image...

متن کامل

Segmentation and Compression of SAR Imagery via Hierarchical Stochastic Modelling

To abate the enormous costs incurred in the transmission and storage of SAR data, we present here a seg-mentation driven compression technique using hierarchical stochastic modeling within a multiscale framework. Our approach to SAR image compression is unique in that we exploit the multiscale stochastic structure inherent in SAR imagery. This structure is well captured by a set of scale auto-r...

متن کامل

A scale-space primer for exploring and quantifying complex landscapes

Over the last two decades, the scale-space community has developed into a reputable field in computer vision, yet its nontrivial mathematics (i.e. group invariance, differential geometry and tensor analysis) limit its adoption by a larger body of researchers and scientists, whose interests in multiscale analysis range from biomedical imaging to landscape ecology. In an effort to disseminate the...

متن کامل

Segmentation Directed SAR Image Compression via Hierarchical Stochastic Modeling

There has recently been a growing interest in Synthetic Aperture Radar (SAR) imaging on account of its importance in a variety of applications. One reason for its gain in popularity is its ability to image terrain at extraordinary rates. Acquiring data at such rates, however, has drawbacks in the form of exorbitant costs in data storage and transmission over relatively slow channels. To allevia...

متن کامل

Hierarchical stochastic modeling of SAR imagery for segmentation/compression

There has recently been a growing interest in synthetic aperture radar (SAR) imaging on account of its importance in a variety of applications. One attribute leading to its gain in popularity is its ability to image terrain at extraordinary rates. Acquiring data at such rates, however, has drawbacks in the form of exorbitant costs in data storage and transmission over relatively slow channels; ...

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:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002