Branding/Logomark minus Citation Combined Shape Icon/Bookmark-empty Icon/Copy Icon/Collection Icon/Close Copy 7 no author result Created with Sketch. Icon/Back Created with Sketch. Match!
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Papers 7444
1 page of 745 pages (7,444 results)
S. Briechle (Munich University of Applied Sciences), Peter Krzystek12
Estimated H-index: 12
(Munich University of Applied Sciences),
G. Vosselman39
Estimated H-index: 39
(UT: University of Twente)
Abstract. Most methods for the mapping of tree species are based on the segmentation of single trees that are subsequently classified using a set of hand-crafted features and an appropriate classifier. The classification accuracy for coniferous and deciduous trees just using airborne laser scanning (ALS) data is only around 90% in case the geometric information of the point cloud is used. As deep neural networks (DNNs) have the ability to adaptively learn features from the underlying data, they ...
Source Cite
Y. Wang7
Estimated H-index: 7
(CAS: Chinese Academy of Sciences),
Man Peng3
Estimated H-index: 3
(CAS: Chinese Academy of Sciences)
+ 6 AuthorsB. Teng
Abstract. Vision based obstacle detection using stereo images is an essential way for hazard avoidance and path planning in planetary rover missions. However, due to light condition changes and topographic relief, only partial or sparse three-dimensional points may be derived by image matching and triangulation reconstruction, which is not sufficient for recognizing obstacles. In this paper, we developed a strategy to detect obstacles using rover stereo images by combining both image grayscale i...
Source Cite
Abstract. The environment of the vehicle can significantly influence the driving situation. Which conditions lead to unsafe driving behaviour is not always clear, also not to a human driver, as the causes might be unconscious, and thus cannot be revealed by expert interviews. Therefore, it is important to investigate how such situations can be reliably detected, and then search for their triggers. It is conceivable that such insecure situations (e.g. near-accidents, U-turns, avoiding obstacles) ...
Source Cite
A. Novo (University of Vigo), H. González-Jorge16
Estimated H-index: 16
(University of Vigo)
+ 2 AuthorsHenrique Lorenzo17
Estimated H-index: 17
(University of Vigo)
Abstract. There is a complex relation between roads and fires. Several major wildfires were ignited near to roads (Morrison 2007) and how they progressed is an important role to understand the importance to forest management in this environment. Nowadays, a sustainable forest management is necessary both for environment and politics. One of the reasons of road management is that these infrastructures provide an effective firewall in case of forest fires and an escape route for the population. Fo...
Source Cite
A. Tuzcu (ITU: Istanbul Technical University), G. Taskin (ITU: Istanbul Technical University), Nebiye Musaoglu9
Estimated H-index: 9
(ITU: Istanbul Technical University)
Abstract. The purpose of the study was to compare performance of the classification methods, that are Rule Based (RB) classifier and Support Vector Machine (SVM), of Planetscope and Worldview-3 satellite images in order to produce land use / cover thematic maps. Six classes, which are deep water, shallow water, vegetation, agricultural area, soil and saline soil, were considered. After performing the classification process, accuracy assessment was employed based on the error matrices. The result...
Source Cite