التفاصيل البيبلوغرافية
| العنوان: |
A Simple Fusion Method for Image Time Series Based on the Estimation of Image Temporal Validity |
| المؤلفون: |
Mar Bisquert, Gloria Bordogna, Agnès Bégué, Gabriele Candiani, Maguelonne Teisseire, Pascal Poncelet |
| المصدر: |
Remote Sensing; Volume 7; Issue 1; Pages: 704-724 |
| بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
| سنة النشر: |
2015 |
| المجموعة: |
MDPI Open Access Publishing |
| مصطلحات موضوعية: |
MODIS, Landsat, validation, remote sensing |
| جغرافية الموضوع: |
agris |
| الوصف: |
High-spatial-resolution satellites usually have the constraint of a low temporal frequency, which leads to long periods without information in cloudy areas. Furthermore, low-spatial-resolution satellites have higher revisit cycles. Combining information from high- and low- spatial-resolution satellites is thought a key factor for studies that require dense time series of high-resolution images, e.g., crop monitoring. There are several fusion methods in the bibliography, but they are time-consuming and complicated to implement. Moreover, the local evaluation of the fused images is rarely analyzed. In this paper, we present a simple and fast fusion method based on a weighted average of two input images (H and L), which are weighted by their temporal validity to the image to be fused. The method was applied to two years (2009–2010) of Landsat and MODIS (MODerate Imaging Spectroradiometer) images that were acquired over a cropped area in Brazil. The fusion method was evaluated at global and local scales. The results show that the fused images reproduced reliable crop temporal profiles and correctly delineated the boundaries between two neighboring fields. The greatest advantages of the proposed method are the execution time and ease of use, which allow us to obtain a fused image in less than five minutes. |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| Relation: |
https://dx.doi.org/10.3390/rs70100704 |
| DOI: |
10.3390/rs70100704 |
| الاتاحة: |
https://doi.org/10.3390/rs70100704 |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: |
edsbas.CB804D3 |
| قاعدة البيانات: |
BASE |