• Tidak ada hasil yang ditemukan

isprs annals III 2 181 2016

N/A
N/A
Protected

Academic year: 2017

Membagikan "isprs annals III 2 181 2016"

Copied!
9
0
0

Teks penuh

Loading

Gambar

Figure 1. Image patches of the 21 land-use/land-cover classes.
Figure 3. Variance of parameter correlation using 9 windows for each sample (1: agricultural, 2: airplane, 3: beach, 4: buildings, 5: chaparral, 6: dense residential, 7: forest, 8: harbor)
Figure 5. Variance of HOG histograms using 9 windows for
Table 2. Average precision values for each category.
+4

Referensi

Dokumen terkait

In this section, we test the proposed interactive change detection method based on active learning with Gaussian processes on remote sensing images from

DETECTION AND COUNTING OF ORCHARD TREES FROM VHR IMAGES USING A GEOMETRICAL-OPTICAL MODEL AND MARKED TEMPLATE MATCHING.. Philippe Maillard a∗ ,

To well process the dense striped data and ensure a reliable solution, we construct a statistical property based constraint in our proposed model and use it to control the

Therefore, for testing purposes, the Meidling dataset was further enhanced, in that all buildings falling into cases b) an c) were hierarchically reordered by means of

In this section the rectification of the image triplets, dense matching with SG optimisation, subsequent sub-pixel interpolation and the calculation of 3D point clouds will be

Automatic assessment of data acquisition and transmission losses has helped in quick quality tagging of browse images which is extremely useful for the users

A NEW CONTROL POINTS BASED GEOMETRIC CORRECTION ALGORITHM FOR AIRBORNE PUSH BROOM SCANNER IMAGES WITHOUT ON-BOARD DATAP. of Aerophysics and Space Research, MIPT, Dolgoprudny, Russia

BUILDING INFORMATION IN ITALY In this section, three main sources of data on buildings are presented: the Topographic Database, the new format for local and regional