✦ LIBER ✦

Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach

✍ Scribed by Harsanyi, J.C.; Chang, C.-I.

Book ID: 117876264
Publisher: IEEE
Year: 1994
Tongue: English
Weight: 668 KB
Volume: 32
Category: Article
ISSN: 0196-2892
DOI: 10.1109/36.298007

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A generalized orthogonal subspace projec

A generalized orthogonal subspace projection approach to unsupervised multispectral image classification

✍ Ren, H.; Chein-I Chang 📂 Article 📅 2000 🏛 IEEE 🌐 English ⚖ 322 KB

An oblique subspace projection approach

An oblique subspace projection approach for mixed pixel classification in hyperspectral images

✍ Te-Ming Tu; Hsuen-Chyun Shyu; Ching-Hai Lee; Chein-I Chang 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 430 KB

Recently oblique projection has been studied for many applications in signal processing. In this paper, the concept of oblique projection is applied to develop an algorithm for hyperspectral image classi"cation. Compared with the orthogonal subspace projector (OSP), it can be found that OSP is a pri

A noise subspace projection approach to

A noise subspace projection approach to target signature detection and extraction in an unknown background for hyperspectral images

✍ Te-Ming Tu; Chin-Hsing Chen; Chein-I Chang 📂 Article 📅 1998 🏛 IEEE 🌐 English ⚖ 611 KB

Classification of Iowa wetlands using an

Classification of Iowa wetlands using an airborne hyperspectral image: a comparison of the spectral angle mapper classifier and an object-oriented approach

✍ Harken, James; Sugumaran, Ramanathan 📂 Article 📅 2005 🏛 Informa UK (Taylor & Francis) 🌐 English ⚖ 510 KB

An unsupervised vector quantization-base

An unsupervised vector quantization-based target subspace projection approach to mixed pixel detection and classification in unknown background for remotely sensed imagery

✍ Clark Brumbley; Chein-I Chang 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 874 KB

A recently developed orthogonal subspace projection (OSP) approach has been successfully applied to AVIRIS as well as HYDICE data for image classi"cation. However, it has found that OSP performs poorly in multispectral image classi"cation such as 3-band SPOT data. This is primarily due to the fact t

[IEEE IEEE International IEEE Internatio

[IEEE IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 - Anchorage, AK, USA (20-24 Sept. 2004)] IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 - An FPGA implementation of parallel ICA for dimensionality reduction in hyperspectral images

✍ Hongtao Du, ; Hairong Qi, 📂 Article 📅 2004 🏛 IEEE 🌐 English ⚖ 323 KB