THE OPTIMAZATION OF MULTI RESOLUTION SEGMENTATION OF REMOTELY SENSED DATA USING GENETIC ALGHORITHM

Verification Using Remotely Sensed Data

Soil moisture is an important hydrologic variable that controls various land surface processes. In spite of its importance to agriculture and drought monitoring, soil moisture information is not widely available on a regional scale. However, long-term soil moisture information is essential for agricultural drought monitoring and crop yield prediction. The hydrologic model Soil and Water Assessm...

Multi Resolution Fuzzy Segmentation of Satellite Images

identifying geothermal resources using remotely sensed data

geothermal energy serves as a renewable and clean energy. thanks to its great advantages such as relatively harmless, low costs and environmental friendly, it may be a good substitute for fossil fuels. in the present study, a geothermal survey is conducted in an area prone geothermal ferdows of south khorasan province in eastern iran using etm+ data landsat 7 geo-referenced to topography map in...

A new wavelet based multi-resolution texture segmentation scheme of remotely sensed images for vegetation extraction

Texture segmentation via wavelet transform traditionally adopts textural features based approach. However, applying this method can lead to oversegmentation problems. To overcome this limitation, we propose a new scheme of texture segmentation. The proposed approach will be applied to remotely sensed images for vegetation extraction. The key idea is that we precede wavelet transform by a prelim...

Segmentation of High-resolution Remotely Sensed Data - Concepts, Applications and Problems

Segmentation algorithms have already been recognized as a valuable and complementary approach that similar to human operators perform a region-based rather than a point-based evaluation of high-resolution and multi-source remotely sensed data. Goal of this paper is to summarize the state-of-the-art of respective segmentation methods by describing the underlying concepts which are rather complex...