|Table of Contents|

Segmentation of High-resolution Remote Sensing Image Based on Morphological Gradient Reconstruction(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2008年04期
Page:
129-133
Research Field:
地理学
Publishing date:

Info

Title:
Segmentation of High-resolution Remote Sensing Image Based on Morphological Gradient Reconstruction
Author(s):
Jiang Sheng; Wang Min; Zhang Xinyue
Key Laboratory of Virtual Geographic Environment,Nanjing Normal University,Ministry of Education,Nanjing 210046,China
Keywords:
mo rpho log ical grad ient;  opening and c losing operation of reconstruction;  w atershed transform;  h igh-reso lution rem ote sensing im ag e
PACS:
TP391.41
DOI:
-
Abstract:
A m ethod of segmentation of high- reso lution remo te sensing im ag e based on mo rpho log ical grad ient reconstruction is proposed. In this algorithm the mu lt-i shape structu re e lem en ts a re constructed according to the characteristics o f remo te sensing im age. Then m orpho log ica l gradient im age is obta ined by utilizingm ult-i shape structure e lem en ts. Opening and c lo sing opera tions of reconstruction are emp loyed to g rad ient image. According to the characteristic of hum an v-i s ion, reg ions w ith h igh con trast are recove red, for sav ing the high local contrast in fo rm ation o f the g radien t im age. A t last, w e get the fina l resu lts by imm ersion sim ulation wa tershed transform. Exper im ents have been im plem en ted to IKONOS im ages and the resu lts show good performance o f th is segmentation m ethod in qua lity.

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Last Update: 2013-05-05