Segmentation of remotely-sensed images : A re-definition for operational applicationsFunded under: JRC-REMSENS 4C
Traditional segmentation approaches do not generally work well with high resolution satellite imagery on account of the spatial complexity of the data and the problem of spectrally `mixed' pixels at the borders of useful segments. In many areas of Europe the proportion of pixels which cannot be treated easily in segmentation is high, because of small field sizes. In this paper the failings of segmentation are examined and recommendations are made for redefining it and performing it as a heuristic image partitioning procedure adapted specifically to application requirements.
Bibliographic Reference: Paper presented: IGARSS '91, Espoo (FI), June 3-6, 1991
Availability: Available from (1) as Paper EN 36174 ORA
Record Number: 199111224 / Last updated on: 1994-12-02
Original language: en
Available languages: en