Automated segmentation of surface soil moisture from Landsat TM data

被引：5

作者：

Bosworth, J ^{[1
]}

Koshimizu, T ^{[1
]}

Acton, ST ^{[1
]}

机构：

[1] Oklahoma State Univ, Sch Elect & Comp Engn, Oklahoma Imaging Lab, Stillwater, OK 74078 USA

来源：

1998 IEEE SOUTHWEST SYMPOSIUM ON IMAGE ANALYSIS AND INTERPRETATION | 1998年

关键词：

D O I：

10.1109/IAI.1998.666862

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This study demonstrates a method for satellite remote sensing of surface soil moisture and the automated segmentation of the acquired imagery. The remote sensing method exploits the relationship between surface radiant temperature, vegetation cover, and surface soil moisture. The segmentation process employs a watershed algorithm applied within a morphological image pyramid. This multi-resolution approach compares favorably to fixed-resolution techniques both in computational cost and feature scalability. Applications of both the remote sensing method and image segmentation technique are demonstrated for a Landsat TM image of southwestern Oklahoma.

引用

页码：70 / 74

页数：3