Multi-spectral edge detection. Some experiments on data from Landsat-TM-Reference-Cited by-同舟云学术

Multi-spectral edge detection. Some experiments on data from Landsat-TM

Published:1994-12 Issue:18 Volume:15 Page:3743-3765
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

DREWNIOK C.¹

Affiliation:

1. a Computer Science Department , University of Hamburg , Vogt-Kölln-Strasse 30, Hamburg, D-22527, Germany

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431169408954356

Reference6 articles.

1. CANNY , J. F. , 1983 , Finding edges and lines in images . Technical Report TR-720, Artificial Intelligence Laboratory , MIT , Cambridge , MA .

2. A Computational Approach to Edge Detection

3. A note on the gradient of a multi-image

4. DREWNIOK , C. , 1988 , Untersuchungen zur Detektion von Kanten in digitalen Farbbildern . Bencht FBI-HH-B-138/88 , Fachbereich Informatik , Universitat Hamburg .

Cited by 44 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Graph-based deep learning segmentation of EDS spectral images for automated mineral phase analysis;Computers & Geosciences;2022-08

2. A Novel Multispectral Lab-depth based Edge Detector for Color Images with Occluded Objects;Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications;2019

3. Gravitation-Based Edge Detection in Hyperspectral Images;Remote Sensing;2017-06-11

4. Segmentation of High Spatial Resolution Remote Sensing Imagery Based on Hard-Boundary Constraint and Two-Stage Merging;IEEE Transactions on Geoscience and Remote Sensing;2014-09

5. Fully Unsupervised M-FISH Chromosome Image Characterization;IEEE Journal of Biomedical and Health Informatics;2013-11