期刊论文、会议论文

Li, C.

英文

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

1682-1750

2016

41

B3

65-69

23rd Congress of the International-Society-for-Photogrammetry-and-Remote-Sensing (ISPRS)

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

JUL 12-19, 2016

Prague, CZECH REPUBLIC

[Li, C.] Key Lab Geog Proc Anal & Simulat, Wuhan, Hubei Province, Peoples R China.^[Li, C.;Liu, X. J.] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.^[Deng, T.] Cent China Normal Univ, Sch Fine Arts, Wuhan, Peoples R China.

Int Soc Photogrammetry & Remote Sensing

Halounova, L Schindler, K Limpouch, A Pajdla, T Safar, V Mayer, H Elberink, SO Mallet, C Rottensteiner, F Bredif, M Skaloud, J Stilla, U

BAHNHOFSALLE 1E, GOTTINGEN, 37081, GERMANY

COPERNICUS GESELLSCHAFT MBH

10.5194/isprsarchives-XLI-B3-65-2016

National Natural Science Foundation of China (NSFC)National Natural Science Foundation of China (NSFC) [41101407]; Natural Science Foundation of Hubei Province, ChinaNatural Science Foundation of Hubei Province [2014CFB377, 2010CDZ005]; self-determined research funds of CCNU from the colleges' basic research and operation of MOE [CCNU15A02001]

本校为通讯机构

Over-parameterization and over-correction are two of the major problems in the rational function model (RFM). A new approach of optimized RFM (ORFM) is proposed in this paper. By synthesizing stepwise selection, orthogonal distance regression, and residual systematic error correction model, the proposed ORFM can solve the ill-posed problem and over-correction problem caused by constant term. The least square, orthogonal distance, and the ORFM are evaluated with control and check grids generated from satellite observation Terre (SPOT-5) high-resolution satellite data. Experimental results show ...