scholarly journals Feature-based groupwise registration of historical aerial images to present-day ortho-photo maps

2019 ◽  
Vol 90 ◽  
pp. 66-77 ◽  
Author(s):  
Sebastian Zambanini
2004 ◽  
pp. 125-147
Author(s):  
Sohaib Khan ◽  
Yaser Sheikh ◽  
Mubarak Shah
Keyword(s):  

2011 ◽  
Vol 33 (2) ◽  
pp. 253-271 ◽  
Author(s):  
Guorong Wu ◽  
Qian Wang ◽  
Hongjun Jia ◽  
Dinggang Shen

Author(s):  
Suhaib Musleh ◽  
Muhammad Sarfraz ◽  
Hazem Raafat

Shadows occur very frequently in digital images while considering them for various important applications. Shadow is considered as a source of noise and can cause false image colors, loss of information, and false image segmentation. Thus, it is required to detect and remove shadows from images. This chapter addresses the problem of shadow detection in high-resolution aerial images. It presents the required main concepts to introduce for the subject. These concepts are the main knowledge units that provide for the reader a better understanding of the subject of shadow detection and furthering the research. Additionally, an overview of various shadow detection methods is provided together with a detailed comparative study. The results of these methods are also discussed extensively by investigating their main features used in the process to detect the shadows accurately.


Author(s):  
P. K. Shukla ◽  
S. Goel ◽  
P. Singh ◽  
B. Lohani

Tracking of targets from aerial platforms is an important activity in several applications, especially surveillance. Knowled ge of geolocation of these targets adds additional significant and useful information to the application. This paper determines the geolocation of a target being tracked from an aerial platform using the technique of image registration. Current approaches utilize a POS to determine the location of the aerial platform and then use the same for geolocation of the targets using the principle of photogrammetry. The constraints of cost and low-payload restrict the applicability of this approach using UAV platforms. This paper proposes a methodology for determining the geolocation of a target tracked from an aerial platform in a partially GPS devoid environment. The method utilises automatic feature based registration technique of a georeferenced satellite image with an ae rial image which is already stored in UAV's database to retrieve the geolocation of the target. Since it is easier to register subsequent aerial images due to similar viewing parameters, the subsequent overlapping images are registered together sequentially thus resulting in the registration of each of the images with georeferenced satellite image thus leading to geolocation of the target under interest. Using the proposed approach, the target can be tracked in all the frames in which it is visible. The proposed concept is verified experimentally and the results are found satisfactory. Using the proposed method, a user can obtain location of target of interest as well features on ground without requiring any POS on-board the aerial platform. The proposed approach has applications in surveillance for target tracking, target geolocation as well as in disaster management projects like search and rescue operations.


Author(s):  
P. K. Shukla ◽  
S. Goel ◽  
P. Singh ◽  
B. Lohani

Tracking of targets from aerial platforms is an important activity in several applications, especially surveillance. Knowled ge of geolocation of these targets adds additional significant and useful information to the application. This paper determines the geolocation of a target being tracked from an aerial platform using the technique of image registration. Current approaches utilize a POS to determine the location of the aerial platform and then use the same for geolocation of the targets using the principle of photogrammetry. The constraints of cost and low-payload restrict the applicability of this approach using UAV platforms. This paper proposes a methodology for determining the geolocation of a target tracked from an aerial platform in a partially GPS devoid environment. The method utilises automatic feature based registration technique of a georeferenced satellite image with an ae rial image which is already stored in UAV's database to retrieve the geolocation of the target. Since it is easier to register subsequent aerial images due to similar viewing parameters, the subsequent overlapping images are registered together sequentially thus resulting in the registration of each of the images with georeferenced satellite image thus leading to geolocation of the target under interest. Using the proposed approach, the target can be tracked in all the frames in which it is visible. The proposed concept is verified experimentally and the results are found satisfactory. Using the proposed method, a user can obtain location of target of interest as well features on ground without requiring any POS on-board the aerial platform. The proposed approach has applications in surveillance for target tracking, target geolocation as well as in disaster management projects like search and rescue operations.


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