A quantitative method to evaluate the performance of topographic correction models used to improve land cover identification-Reference-Cited by-同舟云学术

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A quantitative method to evaluate the performance of topographic correction models used to improve land cover identification

Published:2017-10 Issue:7 Volume:60 Page:1488-1503
ISSN:0273-1177
Container-title:Advances in Space Research
language:en
Short-container-title:Advances in Space Research

Author:

Park Sung-Hwan,Jung Hyung-Sup,Choi Jaewon,Jeon Seongwoo

Funder

Earthquake and Volcano Research Division, Earthquake and Volcano Center

Public Technology Development Project based on Environmental Policy

Korea Environmental Industry and Technology Institute

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference47 articles.

1. Operational two-stage stratified topographic correction of spaceborne multispectral image employing an automatic spectral-rule-based decision-tree preliminary classifier;Baraldi;IEEE Trans. Geosci. Remote Sens.,2010

2. The use of the Minnaert correction for land-cover classification in mountainous terrain;Blesius;Int. J. Remote Sens.,2005

3. Image-based atmospheric corrections – revisited and improved;Chavez;Photogramm. Eng. Remote Sens.,1996

4. On the importance of high-resolution time series of optical imagery for quantifying the effects on snow cover duration on Alpine plant habit;Dedieu;Remote Sens.,2016

5. Improved Landsat-based forest mapping in steep mountainous terrain using object-based classification;Dorren;For. Ecol. Manage.,2003

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2. Topographic Effects on Optical Remote Sensing: Simulations by PLC Model;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

3. Impact of illumination gradients on the raw, atmospherically and topographically corrected snow and vegetation areas of Jhelum basin, Western Himalayas;Geocarto International;2022-08-02

4. A comprehensive evaluation method for topographic correction model of remote sensing image based on entropy weight method;Open Geosciences;2022-01-01

5. Comparison of topographic correction methods on SPOT-6/7 multispectral data in Indonesia: an initial evaluation in hilly to undulating area;Seventh Geoinformation Science Symposium 2021;2021-12-22

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