An Efficient Mosaic Algorithm Considering Seasonal Variation: Application to KOMPSAT-2 Satellite Images
نویسندگان
چکیده
As the aerospace industry grows, images obtained from Earth observation satellites have been successfully used in various fields. Specifically, the demand for a high-resolution (HR) optical images is gradually increasing, and hence the generation of a high-quality mosaic image is being magnified as an interesting issue. In this paper, we have proposed an efficient mosaic algorithm for HR optical images that are significantly different due to seasonal change. The algorithm includes main steps such as: (1) seamline extraction from gradient magnitude and seam images; (2) histogram matching; and (3) image feathering. Eleven Kompsat-2 images characterized by seasonal variations are used for the performance validation of the proposed method. The results of the performance test show that the proposed method effectively mosaics Kompsat-2 adjacent images including severe seasonal changes. Moreover, the results reveal that the proposed method is applicable to HR optic images such as GeoEye, IKONOS, QuickBird, RapidEye, SPOT, WorldView, etc.
منابع مشابه
An Enhanced Algorithm for Automatic Radiometric Harmonization of High-resolution Optical Satellite Imagery Using Pseudo- Invariant Features and Linear Regression
The growing number of available optical remote sensing data providing large spatial and temporal coverage enables the coherent and gapless observation of the earth’s surface on the scale of whole countries or continents. To produce datasets of that size, individual satellite scenes have to be stitched together forming so-called mosaics. Here the problem arises that the different images feature ...
متن کاملImage Fusion-Based Change Detection for Flood Extent Extraction Using Bi-Temporal Very High-Resolution Satellite Images
Change detection based on satellite images acquired from an area at different dates is of widespread interest, according to the increasing number of flood-related disasters. The images help to generate products that support emergency response and flood management at a global scale. In this paper, a novel unsupervised change detection approach based on image fusion is introduced. The approach ai...
متن کاملGeo-Positioning Accuracy Using Multiple-Satellite Images: IKONOS, QuickBird, and KOMPSAT-2 Stereo Images
This paper investigates the positioning accuracy of image pairs achieved by integrating images from multiple satellites. High-resolution satellite images from IKONOS, QuickBird, and KOMPSAT-2 for Daejeon, Korea were combined to produce pairs of stereo images. From single-satellite stereo pairs to multiple-satellite image pairs, all available combinations were analyzed via a rational function mo...
متن کاملAn Experimental Study on the Generation of Thematic Maps Using Kompsat-2 Image Data
The mapping with the high resolution satellite image instead of aerial images is one of the most important applications in the field of remote sensing. The purpose of this study is to investigate the possibility for generating the thematic maps such as digital map, ortho-rectified image, and Digital Elevation Model (DEM) using the second KOrea Multi-Purpose SATellite (KOMPSAT-2) stereo dataset....
متن کاملAutomated Dem Extraction from the Kompsat-1 Eoc Images
This paper reports experiments carried out for DEM extraction from the KOMPSAT-1 EOC images. The KOMPSAT-1 is the first Korean remote sensing satellite launched in December, 1999. It has a high-resolution (6.6m) earth imaging sensor (EOC) and a sensor for ocean color monitoring (OSMI). The focus of this paper was to develop appropriate algorithms for DEM generation from the EOC images and to an...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره 15 شماره
صفحات -
تاریخ انتشار 2015