Study on land-cover classification using object-oriented method in landscape fragmentation zone：in the mountainous region of southern Anhui

doi:10.7523/j.issn.2095-6134.2014.05.007

Abstract

Abstract:

Landsat 5 TM and HJ-1 CCD images in 2009 were selected for land-cover classification in mountainous region of southern Anhui. Combining with field survey data, we analyzed land-cover characteristics to dig out spectrum, texture, spatial and temporal information, and obtained the feature bands of the corresponding land-cover types. Using See 5.0 software, we oltained the optimal feature bands and thresholds of land-cover types based on training samples. The rule sets of land-cover classification were established using eCognition Developer 8.64 software. The results showed that, by using the object-oriented classification method based on multi-temporal remote sensing images, the land-cover classification with accuracies higher than 92% was acquired. This method is suitable for land-cover classification in the mountainous region of southern Anhui.

Key words: multi-temporal remote sensing imagery, object-oriented classification, fragmentation, mountainous region of southern Anhui

CLC Number:

TP751.1

LIU Guilin, ZHANG Luocheng, ZHAO Jinli. Study on land-cover classification using object-oriented method in landscape fragmentation zone：in the mountainous region of southern Anhui[J]. , 2014, 31(5): 626-631.

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