Adaptive patch projection for the generation of orthophotos from satellite images

Liang Chien Chen, Tee Ann Teo, Jiann-Yeou Rau

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

In this paper, we describe an "Adaptive Patch Projection" scheme that can accelerate the orthorectification for satellite images without losing accuracy. The proposed scheme is comprised of two major components: (a) orbit modeling, and (b) image orthorectification. In orbit modeling, we provide a collocation procedure to determine the precise orbits. In image orthorectification, the area of interest is sequentially subdivided into four quadrate tiles until a specified threshold for terrain variations is met. The threshold of maximum terrain variation in a tile will be optimized according to the computational efficiency and the accuracy requirements. Once the ground tiles are determined, we perform adaptive patch projection to the corresponding image pixels. Test images from SPOT5 Supermode and QuickBird satellites are included. The experimental results show that this algorithm can minimize the orthorectification computation time, while the modeling error is insignificant.

Original languageEnglish
Pages (from-to)1321-1327
Number of pages7
JournalPhotogrammetric Engineering and Remote Sensing
Volume71
Issue number11
DOIs
Publication statusPublished - 2005 Jan 1

Fingerprint

orthophoto
Tile
Orbits
Satellites
modeling
Computational efficiency
QuickBird
Pixels
pixel
satellite image

All Science Journal Classification (ASJC) codes

  • Computers in Earth Sciences

Cite this

@article{14eaecaa5e3e4f9583d6f1cfd3dd1c1e,
title = "Adaptive patch projection for the generation of orthophotos from satellite images",
abstract = "In this paper, we describe an {"}Adaptive Patch Projection{"} scheme that can accelerate the orthorectification for satellite images without losing accuracy. The proposed scheme is comprised of two major components: (a) orbit modeling, and (b) image orthorectification. In orbit modeling, we provide a collocation procedure to determine the precise orbits. In image orthorectification, the area of interest is sequentially subdivided into four quadrate tiles until a specified threshold for terrain variations is met. The threshold of maximum terrain variation in a tile will be optimized according to the computational efficiency and the accuracy requirements. Once the ground tiles are determined, we perform adaptive patch projection to the corresponding image pixels. Test images from SPOT5 Supermode and QuickBird satellites are included. The experimental results show that this algorithm can minimize the orthorectification computation time, while the modeling error is insignificant.",
author = "Chen, {Liang Chien} and Teo, {Tee Ann} and Jiann-Yeou Rau",
year = "2005",
month = "1",
day = "1",
doi = "10.14358/PERS.71.11.1321",
language = "English",
volume = "71",
pages = "1321--1327",
journal = "Photogrammetric Engineering and Remote Sensing",
issn = "0099-1112",
publisher = "American Society for Photogrammetry and Remote Sensing",
number = "11",

}

Adaptive patch projection for the generation of orthophotos from satellite images. / Chen, Liang Chien; Teo, Tee Ann; Rau, Jiann-Yeou.

In: Photogrammetric Engineering and Remote Sensing, Vol. 71, No. 11, 01.01.2005, p. 1321-1327.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Adaptive patch projection for the generation of orthophotos from satellite images

AU - Chen, Liang Chien

AU - Teo, Tee Ann

AU - Rau, Jiann-Yeou

PY - 2005/1/1

Y1 - 2005/1/1

N2 - In this paper, we describe an "Adaptive Patch Projection" scheme that can accelerate the orthorectification for satellite images without losing accuracy. The proposed scheme is comprised of two major components: (a) orbit modeling, and (b) image orthorectification. In orbit modeling, we provide a collocation procedure to determine the precise orbits. In image orthorectification, the area of interest is sequentially subdivided into four quadrate tiles until a specified threshold for terrain variations is met. The threshold of maximum terrain variation in a tile will be optimized according to the computational efficiency and the accuracy requirements. Once the ground tiles are determined, we perform adaptive patch projection to the corresponding image pixels. Test images from SPOT5 Supermode and QuickBird satellites are included. The experimental results show that this algorithm can minimize the orthorectification computation time, while the modeling error is insignificant.

AB - In this paper, we describe an "Adaptive Patch Projection" scheme that can accelerate the orthorectification for satellite images without losing accuracy. The proposed scheme is comprised of two major components: (a) orbit modeling, and (b) image orthorectification. In orbit modeling, we provide a collocation procedure to determine the precise orbits. In image orthorectification, the area of interest is sequentially subdivided into four quadrate tiles until a specified threshold for terrain variations is met. The threshold of maximum terrain variation in a tile will be optimized according to the computational efficiency and the accuracy requirements. Once the ground tiles are determined, we perform adaptive patch projection to the corresponding image pixels. Test images from SPOT5 Supermode and QuickBird satellites are included. The experimental results show that this algorithm can minimize the orthorectification computation time, while the modeling error is insignificant.

UR - http://www.scopus.com/inward/record.url?scp=27644585195&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=27644585195&partnerID=8YFLogxK

U2 - 10.14358/PERS.71.11.1321

DO - 10.14358/PERS.71.11.1321

M3 - Article

VL - 71

SP - 1321

EP - 1327

JO - Photogrammetric Engineering and Remote Sensing

JF - Photogrammetric Engineering and Remote Sensing

SN - 0099-1112

IS - 11

ER -