Advances in Multi-Sensor Data Fusion: Algorithms and Applications
With the development of satellite and remote sensing techniques, more and more image data from airborne/satellite sensors have become available. Multi-sensor image fusion seeks to combine information from different images to obtain more inferences than can be derived from a single sensor. In image-b...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2009-09-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/9/10/7771/ |
| _version_ | 1818012253913350144 |
|---|---|
| author | Jingying Fu Yaohuan Huang Jiang Dong Dafang Zhuang |
| author_facet | Jingying Fu Yaohuan Huang Jiang Dong Dafang Zhuang |
| author_sort | Jingying Fu |
| collection | DOAJ |
| description | With the development of satellite and remote sensing techniques, more and more image data from airborne/satellite sensors have become available. Multi-sensor image fusion seeks to combine information from different images to obtain more inferences than can be derived from a single sensor. In image-based application fields, image fusion has emerged as a promising research area since the end of the last century. The paper presents an overview of recent advances in multi-sensor satellite image fusion. Firstly, the most popular existing fusion algorithms are introduced, with emphasis on their recent improvements. Advances in main applications fields in remote sensing, including object identification, classification, change detection and maneuvering targets tracking, are described. Both advantages and limitations of those applications are then discussed. Recommendations are addressed, including: (1) Improvements of fusion algorithms; (2) Development of “algorithm fusion” methods; (3) Establishment of an automatic quality assessment scheme. |
| first_indexed | 2024-04-14T06:17:43Z |
| format | Article |
| id | doaj.art-5f6906d977fc4cb998239787d9defed6 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T06:17:43Z |
| publishDate | 2009-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-5f6906d977fc4cb998239787d9defed62022-12-22T02:08:07ZengMDPI AGSensors1424-82202009-09-019107771778410.3390/s91007771Advances in Multi-Sensor Data Fusion: Algorithms and ApplicationsJingying FuYaohuan HuangJiang DongDafang ZhuangWith the development of satellite and remote sensing techniques, more and more image data from airborne/satellite sensors have become available. Multi-sensor image fusion seeks to combine information from different images to obtain more inferences than can be derived from a single sensor. In image-based application fields, image fusion has emerged as a promising research area since the end of the last century. The paper presents an overview of recent advances in multi-sensor satellite image fusion. Firstly, the most popular existing fusion algorithms are introduced, with emphasis on their recent improvements. Advances in main applications fields in remote sensing, including object identification, classification, change detection and maneuvering targets tracking, are described. Both advantages and limitations of those applications are then discussed. Recommendations are addressed, including: (1) Improvements of fusion algorithms; (2) Development of “algorithm fusion” methods; (3) Establishment of an automatic quality assessment scheme.http://www.mdpi.com/1424-8220/9/10/7771/multi-sensordata fusionremote sensing |
| spellingShingle | Jingying Fu Yaohuan Huang Jiang Dong Dafang Zhuang Advances in Multi-Sensor Data Fusion: Algorithms and Applications Sensors multi-sensor data fusion remote sensing |
| title | Advances in Multi-Sensor Data Fusion: Algorithms and Applications |
| title_full | Advances in Multi-Sensor Data Fusion: Algorithms and Applications |
| title_fullStr | Advances in Multi-Sensor Data Fusion: Algorithms and Applications |
| title_full_unstemmed | Advances in Multi-Sensor Data Fusion: Algorithms and Applications |
| title_short | Advances in Multi-Sensor Data Fusion: Algorithms and Applications |
| title_sort | advances in multi sensor data fusion algorithms and applications |
| topic | multi-sensor data fusion remote sensing |
| url | http://www.mdpi.com/1424-8220/9/10/7771/ |
| work_keys_str_mv | AT jingyingfu advancesinmultisensordatafusionalgorithmsandapplications AT yaohuanhuang advancesinmultisensordatafusionalgorithmsandapplications AT jiangdong advancesinmultisensordatafusionalgorithmsandapplications AT dafangzhuang advancesinmultisensordatafusionalgorithmsandapplications |