Name
Abstract | ||
|---|---|---|
The advent of satellite constellation has been rapidly increasing the acquisition frequency of remote sensing imagery. In spite of widespread use of constellation satellite imagery in various applications, the assessments of these imagery are still limited. To assess the quality of constellation imagery, we compared imagery of the constellation satellite, Planet, with imagery of the conventional satellite, VEN mu S, by using three methodologies. Our research revealed that constellation satellites have the advantage of being less blured and the disadvantage of being noisy. Also, we denoted that relative indices, such as NDVIs, should be used in data fusion application. Based on these analysis, we performed land cover mapping of fused time-series satellite imagery by making a use of the result of these assessments. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/IGARSS39084.2020.9323931 | IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM |
Keywords | DocType | Citations |
Assessment, constellation, Planet, VEN mu S, land mapping | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tatsuya Yamada | 1 | 0 | 0.34 |
| Yoshio Inoue | 2 | 0 | 0.68 |
| akira iwasaki | 3 | 193 | 16.71 |