Two-Dimensional Change Detection Methods: Remote Sensing Applications

ISBN-13: 9781447142546 / Angielski / Miękka / 2012 / 72 str.

Murat Lsever; Cem Nsalan

Opis

Investigates two-dimensional change detection methods. This title includes methods in the literature that are grouped into four categories: pixel-based, transformation-based, texture analysis-based, and structure-based. It provides the quantitative test results and their interpretations.

Spis treści

Introduction

Pixel-Based Change Detection Methods

Transformation-Based Change Detection Methods

Structure-Based Change Detection Methods

Fusion of Change Detection Methods

Experiments

Final Comments

Blurb

Change detection using remotely sensed images has many applications, such as urban monitoring, land-cover change analysis, and disaster management. This work investigates two-dimensional change detection methods. The existing methods in the literature are grouped into four categories: pixel-based, transformation-based, texture analysis-based, and structure-based. In addition to testing existing methods, four new change detection methods are introduced: fuzzy logic-based, shadow detection-based, local feature-based, and bipartite graph matching-based. The latter two methods form the basis for a structural analysis of change detection. Three thresholding algorithms are compared, and their effects on the performance of change detection methods are measured. These tests on existing and novel change detection methods make use of a total of 35 panchromatic and multi-spectral Ikonos image sets. Quantitative test results and their interpretations are provided.