Recently, related technologies using drones have been developed, and there is a growing interest in using drones worldwide.
Currently, drone industry is growing in various industries such as surveying, transportation, agriculture, broadcasting, disaster. Recently, as the drone industry grows glo...
Recently, related technologies using drones have been developed, and there is a growing interest in using drones worldwide.
Currently, drone industry is growing in various industries such as surveying, transportation, agriculture, broadcasting, disaster. Recently, as the drone industry grows globally, international regulation and security is expected to be established.
In the future, the spatial information industry has an infinite potential when it's merged with advanced information communication technology (ICT) such as autonomous vehicles and drones.
the increase of demand for highly precise location information and the changes in the surveying environment relating to autonomous vehicles, unmanned aerial vehicles and personal navigation.
Future spatial information industry is expected to develop gradually by fusing and compounding with advanced technology, and space information construction field using drone will also develop.
3D spatial information has already been established in v-world and provides spatial information to people. Mobile, Internet portals, navigation, games, and other industries are also demanding rapid spatial information. In addition to that, quick and accurate spatial information is needed in all fields of civil engineering, architecture, construction, environment, and plant. As existing construction and transportation field is combined with IT, all fields are connected with spatial information.
Future spatial information will require prompt and accurate data, and relating industry will increase accordingly.
Spatial information is constructed in various ways, and the most widely used aerial photogrammetry has the advantage of surveying large areas in short time. However, it costs a lot of money and manpower, and it is affected by the weather. In addition, the spatial resolution of the image is limited to 11cm ~ 1m, so there is a limitation on reading for the tasks. In the hazardous area, the disaster area, and the disaster area where the images are suddenly required, the satellite image or the aerial image is already limited in terms of time.
Orthogonal image, 3D spatial information or location information is needed in real time in construction traffic. However, it is not possible to use aerial photogrammetry or satellite images every time. In order to overcome these limitations, it is necessary to use the data obtained by using the drone to construct spatial information.
Space information is indispensable to the Augmented Reality (AR) industry and the Virtual Reality (VR) industry as well as to various industries like the measurement industry. Especially, space information is needed for the construction of 3D spatial information including various information such as road gradient, lane classification,
property of road selection, safety inspection of mega structure, and quick and efficient disaster recovery in case of disaster for unmanned vehicle operation.
However, the construction of spatial information using the current drone is insignificant, and it has many disadvantages when applied to the actual situation in the field. Lack of manpower in image processing, and expensive cost of drones and software prevent the growth of these drones.
The purpose of this study is to be applied in real task when constructing and processing spatial information using drones.
The purpose of this study is to utilize information after obtaining images with drones which are cheaper and easier to control than existing aerial photographic image or satellite image acquisition, and by post-processing software the obtained image information.
Recently, related technologies using drones have been developed, and there is a growing interest in using drones worldwide.
Currently, drone industry is growing in various industries such as surveying, transportation, agriculture, broadcasting, disaster. Recently, as the drone industry grows globally, international regulation and security is expected to be established.
In the future, the spatial information industry has an infinite potential when it's merged with advanced information communication technology (ICT) such as autonomous vehicles and drones.
the increase of demand for highly precise location information and the changes in the surveying environment relating to autonomous vehicles, unmanned aerial vehicles and personal navigation.
Future spatial information industry is expected to develop gradually by fusing and compounding with advanced technology, and space information construction field using drone will also develop.
3D spatial information has already been established in v-world and provides spatial information to people. Mobile, Internet portals, navigation, games, and other industries are also demanding rapid spatial information. In addition to that, quick and accurate spatial information is needed in all fields of civil engineering, architecture, construction, environment, and plant. As existing construction and transportation field is combined with IT, all fields are connected with spatial information.
Future spatial information will require prompt and accurate data, and relating industry will increase accordingly.
Spatial information is constructed in various ways, and the most widely used aerial photogrammetry has the advantage of surveying large areas in short time. However, it costs a lot of money and manpower, and it is affected by the weather. In addition, the spatial resolution of the image is limited to 11cm ~ 1m, so there is a limitation on reading for the tasks. In the hazardous area, the disaster area, and the disaster area where the images are suddenly required, the satellite image or the aerial image is already limited in terms of time.
Orthogonal image, 3D spatial information or location information is needed in real time in construction traffic. However, it is not possible to use aerial photogrammetry or satellite images every time. In order to overcome these limitations, it is necessary to use the data obtained by using the drone to construct spatial information.
Space information is indispensable to the Augmented Reality (AR) industry and the Virtual Reality (VR) industry as well as to various industries like the measurement industry. Especially, space information is needed for the construction of 3D spatial information including various information such as road gradient, lane classification,
property of road selection, safety inspection of mega structure, and quick and efficient disaster recovery in case of disaster for unmanned vehicle operation.
However, the construction of spatial information using the current drone is insignificant, and it has many disadvantages when applied to the actual situation in the field. Lack of manpower in image processing, and expensive cost of drones and software prevent the growth of these drones.
The purpose of this study is to be applied in real task when constructing and processing spatial information using drones.
The purpose of this study is to utilize information after obtaining images with drones which are cheaper and easier to control than existing aerial photographic image or satellite image acquisition, and by post-processing software the obtained image information.
주제어
#드론 영상처리 Photoscan 정사영상제작
※ AI-Helper는 부적절한 답변을 할 수 있습니다.