A SPATIO-TEMPORAL AUTOCORRELATION CHANGE DETECTION APPROACH USING HYPER-TEMPORAL SATELLITE DATA

被引：1

作者：

Kleynhans, W. ^{[1
,2
]}

Salmon, B. P. ^{[1
,2
]}

Wessels, K. J. ^{[2
]}

Olivier, J. C. ^{[3
]}

机构：

[1] Univ Pretoria, Dept Elect Elect & Comp Engn, ZA-0002 Pretoria, South Africa

[2] CSIR, Meraka Inst, Remote Sensing Res Unit, Pretoria, South Africa

[3] Univ Tasmania, Sch Engn, Hobart, Tas 7001, Australia

来源：

2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2013年

关键词：

MODIS TIME-SERIES; HUMAN-SETTLEMENTS; IMAGES;

D O I：

10.1109/IGARSS.2013.6723573

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

There has been recent developments in the use of hypertemporal satellite time series data for land cover change detection and classification in South Africa and in particular, the monitoring of human settlement expansion is of relevance as it is the most pervasive form of land-cover change in the country. In this paper, a spatio-temporal change detection method is proposed that is applicable over large regions. This is achieved by adjusting the change threshold based on the change properties of a neighbourhood of pixels. Results indicate that the addition of spatial information increase change detection accuracy when compared to a pixel based approach.

引用

页码：3459 / 3462

页数：4

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