(UM)
-
Tilt correction toward building detection of remote sensing imagesLiu, Kang ...Building detection is a crucial task in the field of remote sensing, which can facilitate urban construction planning, disaster survey, and emergency landing. However, for large-size remote sensing ... images, the great majority of existing works have ignored the image tilt problem. This problem can result in partitioning buildings into separately oblique parts when the large-size images are partitioned. This is not beneficial to preserve semantic completeness of the building objects. Motivated by the above fact, we first propose a framework for detecting objects in a large-size image, particularly for building detection. The framework mainly consists of two phases. In the first phase, we particularly propose a tilt correction (TC) algorithm, which contains three steps: texture mapping, tilt angle assessment, and image rotation. In the second phase, building detection is performed with object detectors, especially deep-neural-network-based methods. Last but not least, the detection results will be inversely mapped to the original large-size image. Furthermore, a challenging dataset named Aerial Image Building Detection is contributed for the public research. To evaluate the TC method, we also define an evaluation metric to compute the cost of building partition. The experimental results demonstrate the effects of the proposed method for building detection.Vir: IEEE journal of selected topics in applied earth observations and remote sensing. - ISSN 1939-1404 (Vol. 14, 2021, str. 5854-5866)Vrsta gradiva - članek, sestavni delLeto - 2021Jezik - angleškiCOBISS.SI-ID - 67635971
![loading ... loading ...](themes/default/img/ajax-loading.gif)
vir: IEEE journal of selected topics in applied earth observations and remote sensing. - ISSN 1939-1404 (Vol. 14, 2021, str. 5854-5866)
![loading ... loading ...](themes/default/img/ajax-loading.gif)
![loading ... loading ...](themes/default/img/ajax-loading.gif)
![loading ... loading ...](themes/default/img/ajax-loading.gif)
Vnos na polico
Trajna povezava
- URL:
Faktor vpliva
Dostop do baze podatkov JCR je dovoljen samo uporabnikom iz Slovenije. Vaš trenutni IP-naslov ni na seznamu dovoljenih za dostop, zato je potrebna avtentikacija z ustreznim računom AAI.
Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
---|---|---|---|---|---|---|---|---|
JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
Baze podatkov, v katerih je revija indeksirana
Ime baze podatkov | Področje | Leto |
---|
Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
---|---|
Liu, Kang | ![]() |
Jiang, Zhiyu | ![]() |
Xu, Mingliang | ![]() |
Perc, Matjaž | 23428 |
Li, Xuelong | ![]() |
Vir: Osebne bibliografije
in: SICRIS
Izberite prevzemno mesto:
Prevzem gradiva po pošti
Naslov za dostavo:
Med podatki člana manjka naslov.
Storitev za pridobivanje naslova trenutno ni dostopna, prosimo, poskusite še enkrat.
S klikom na gumb "V redu" boste potrdili zgoraj izbrano prevzemno mesto in dokončali postopek rezervacije.
S klikom na gumb "V redu" boste potrdili zgoraj izbrano prevzemno mesto in naslov za dostavo ter dokončali postopek rezervacije.
S klikom na gumb "V redu" boste potrdili zgoraj izbrani naslov za dostavo in dokončali postopek rezervacije.
Obvestilo
Trenutno je storitev za avtomatsko prijavo in rezervacijo nedostopna. Gradivo lahko rezervirate sami na portalu Biblos ali ponovno poskusite tukaj kasneje.
Gesla v Splošnem geslovniku COBISS
Izbira mesta prevzema
Gradivo iz matične enote je brezplačno. Če je gradivo na mesto prevzema dostavljeno iz drugih enot, lahko knjižnica to storitev zaračuna.
Mesto prevzema | Status gradiva | Rezervacija |
---|
Rezervacija v teku
Prosimo, počakajte trenutek.
Rezervacija je uspela.
Rezervacija ni uspela.
Rezervacija...
Članska izkaznica:
Mesto prevzema: